Solutions Architect jobs at Hitachi Vantara - 89 jobs

_corporate_fare_ Google _place_ New York, NY, USA; Atlanta, GA, USA; +13 more; +12 more **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XThe application window will be open until at least February 03, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. This role may also be located in our Playa Vista, CA campus. "Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act." Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: + Health, dental, vision, life, disability insurance + Retirement Benefits: 401(k) with company match + Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment + Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) + Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks + Baby Bonding Leave: 18 weeks + Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **New York, NY, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; Addison, TX, USA; Kirkland, WA, USA; Miami, FL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; Reston, VA, USA; Seattle, WA, USA; San Francisco, CA, USA; Washington D.C., DC, USA** . **Minimum qualifications:** + Bachelor's degree in Computer Science or equivalent practical experience in Software Engineering, SRE, or DevOps. + 6 years of experience in Python, and experience architecting scalable AI systems on cloud platforms. + Experience deploying conversational agents using code-based frameworks. + Experience deploying resources via Terraform or similar tools, and automating the setup of agents, functions, and networking. + Experience building full-stack applications that interact with enterprise IT infrastructures. **Preferred qualifications:** + Master's degree or PhD in AI, Computer Science, or a related technical field. + Experience implementing multi-agent systems using frameworks like ReAct and self-reflection. + Experience debugging Agent logic and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real-time. + Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations. + Experience troubleshooting live, high-traffic systems during critical windows, and in developing and driving customer projects forward in a timely manner. + Ability to build in real-time with customers utilizing modern generative AI tools, and travel up to 50% of the time. **About the job** As a Field Solutions Architect (FSA) in Applied AI, you are the "Agent Engineer" and the primary delivery arm for our customers' most critical AI initiatives. You will take initial conversational prototypes and transform them into production-ready solutions, owning the engineering life-cycle and the transition from the "Art of the Possible" to real-world business value and scalable, secure AI systems. Focused on leading technical delivery for Conversational AI pilots, you will establish the first Customer User Journeys (CUJs) for our largest customers at their sites, utilizing your understanding of software engineering, MLOps, and cloud infrastructure.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Serve as the lead developer for Conversational AI and Customer Experience (CX) applications, transitioning from rapid prototypes to production-grade agentic workflows that drive measurable Return on Investment (ROI). + Architect conversational flows that are not just functional, but optimized for the "connective tissue" between Google's Conversational AI products and customers' live infrastructure, including APIs, legacy data silos, and security perimeters. + Build high-performance evaluation (Eval) pipelines and observability frameworks to optimize agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking. + Identify repeatable field patterns and technical "friction points" in Google's AAI stack, converting them into reusable modules or product feature requests for Engineering teams. + Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

info_outline XThe application window will be open until at least January 30, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Austin, TX, USA; Boulder, CO, USA; Addison, TX, USA; Kirkland, WA, USA; Seattle, WA, USA. Minimum qualifications: Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 3 years of experience in Python and relevant machine learning packages (e.g., Keras, Pytorch, HF Transformers). Experience in applied AI, with a focus on building systems around pretrained models (e.g., prompt engineering, fine-tuning, RAG, orchestrating model interactions with external tools to deliver solutions). Experience architecting, deploying, or managing solutions on a Cloud Platform (e.g., Google Cloud Platform). Preferred qualifications: Master's degree in Computer Science, Engineering, or a related technical field. Experience working with customers in a technical capacity. Experience in systems design with the ability to architect data and ML pipelines, including advanced agentic patterns such as "Plan-and-Execute," multi-agent collaboration, and self-reflection loops. Experience in software engineering management or project/program management. Experience training and fine-tuning models in large-scale environments using accelerators, with a proven track record of deploying production-grade AI agents that utilize tool-use (function calling) and state management. Ability to maintain a startup mentality and a bias for action focused on customer solutions. About the job As a Field Solutions Architect (FSA), you will play a pivotal role in the Google Cloud AI Go-To-Market organization. You will focus on frontier AI, including Generative AI (GenAI), in a highly technical customer-facing role. The FSA's primary responsibility is to bridge the gap between our AI products and customers' real-world business problems. Unlike a traditional sales engineer, the FSA owns end-to-end technical delivery from understanding client needs to architecting, building, and deploying solutions directly on customer infrastructure. This role requires a blend of technical expertise, problem-solving, and communication, with significant customer collaboration and travel. You will construct rapid-prototype Generative AI applications tailored to Google Cloud customers, ranging from early-stage startups to prominent, established companies. As a hybrid professional, you will blend engineering core competencies with an aptitude for customer engagement and problem-solving. This often involves leading with bespoke implementation as the primary value proposition, ensuring our core technology delivers demonstrable value within the customer's unique operational context. Finally, you will collaborate closely with product and engineering teams to eliminate obstacles and shape the future trajectory of our offerings, translating one-off customer solutions into reusable, scalable assets. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $123,000-$176,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Be a trusted advisor to customers by understanding their business processes and objectives. Design and build GenAI-driven solutions spanning AI, Data, and Infrastructure. Work with peers to include the full cloud stack into overall architecture. Build production-grade prototypes rapidly to deliver measurable outcomes, including writing custom code, integrating disparate data sources, designing data ontologies, and deploying solutions on customer infrastructure. Represent the customer, gathering real-time feedback and insights. Formalize and abstract field-tested solutions into reusable modules or new product features to drive product innovation. Establish technical and business cases to support recommendations. Work cross-functionally to influence Google Cloud strategy and product direction by advocating for customer requirements at the intersection of infrastructure and AI/ML. Coordinate regional field enablement with leadership and collaborate closely with product and partner organizations on external enablement. Travel as required.

Apply share * link Copy link * email Email a friend info_outline XThe application window will be open until at least January 30, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: * Health, dental, vision, life, disability insurance * Retirement Benefits: 401(k) with company match * Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment * Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) * Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks * Baby Bonding Leave: 18 weeks * Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Austin, TX, USA; Boulder, CO, USA; Addison, TX, USA; Kirkland, WA, USA; Seattle, WA, USA. Minimum qualifications: * Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. * 3 years of experience in Python and relevant machine learning packages (e.g., Keras, Pytorch, HF Transformers). * Experience in applied AI, with a focus on building systems around pretrained models (e.g., prompt engineering, fine-tuning, RAG, orchestrating model interactions with external tools to deliver solutions). * Experience architecting, deploying, or managing solutions on a Cloud Platform (e.g., Google Cloud Platform). Preferred qualifications: * Master's degree in Computer Science, Engineering, or a related technical field. * Experience working with customers in a technical capacity. * Experience in systems design with the ability to architect data and ML pipelines, including advanced agentic patterns such as "Plan-and-Execute," multi-agent collaboration, and self-reflection loops. * Experience in software engineering management or project/program management. * Experience training and fine-tuning models in large-scale environments using accelerators, with a proven track record of deploying production-grade AI agents that utilize tool-use (function calling) and state management. * Ability to maintain a startup mentality and a bias for action focused on customer solutions. About the job As a Field Solutions Architect (FSA), you will play a pivotal role in the Google Cloud AI Go-To-Market organization. You will focus on frontier AI, including Generative AI (GenAI), in a highly technical customer-facing role. The FSA's primary responsibility is to bridge the gap between our AI products and customers' real-world business problems. Unlike a traditional sales engineer, the FSA owns end-to-end technical delivery from understanding client needs to architecting, building, and deploying solutions directly on customer infrastructure. This role requires a blend of technical expertise, problem-solving, and communication, with significant customer collaboration and travel. You will construct rapid-prototype Generative AI applications tailored to Google Cloud customers, ranging from early-stage startups to prominent, established companies. As a hybrid professional, you will blend engineering core competencies with an aptitude for customer engagement and problem-solving. This often involves leading with bespoke implementation as the primary value proposition, ensuring our core technology delivers demonstrable value within the customer's unique operational context. Finally, you will collaborate closely with product and engineering teams to eliminate obstacles and shape the future trajectory of our offerings, translating one-off customer solutions into reusable, scalable assets. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $123,000-$176,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Be a trusted advisor to customers by understanding their business processes and objectives. Design and build GenAI-driven solutions spanning AI, Data, and Infrastructure. Work with peers to include the full cloud stack into overall architecture. * Build production-grade prototypes rapidly to deliver measurable outcomes, including writing custom code, integrating disparate data sources, designing data ontologies, and deploying solutions on customer infrastructure. * Represent the customer, gathering real-time feedback and insights. Formalize and abstract field-tested solutions into reusable modules or new product features to drive product innovation. Establish technical and business cases to support recommendations. * Work cross-functionally to influence Google Cloud strategy and product direction by advocating for customer requirements at the intersection of infrastructure and AI/ML. * Coordinate regional field enablement with leadership and collaborate closely with product and partner organizations on external enablement. Travel as required.

Apply share * link Copy link * email Email a friend Minimum qualifications: * Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. * 8 years of experience in Python or other programming language(s) common in machine learning (e.g., Java, C++, Go). * Experience in applied AI, with a focus on designing and evaluating systems around foundation models, including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and orchestrating model interactions with external tools to deliver complete solutions. * Experience designing and implementing autonomous agents and multi-agent systems to automate multi-step business workflows. * Experience architecting, deploying, or managing solutions on a Cloud Platform (e.g. Google Cloud Platform). Preferred qualifications: * Master's degree in Computer Science, Engineering, or a related technical field. * Software engineering management or project/program management experience. * Experience training and fine-tuning models in large-scale environments with accelerators, with experience deploying production-grade AI agents that manage tool-use (i.e. function calling) and complex state management. * Experience in systems design with the ability to architect data and ML pipelines, including advanced agentic patterns (e.g., Plan-and-Execute, multi-agent collaboration, and self-reflection loops). * Ability to take initiative and apply strategic product insights to solve immediate customer challenges and unlock long-term value. About the job As a Field Solutions Architect, you will play a pivotal role in the Google Cloud AI Go-To-Market organization. You will be focused on frontier AI, including Generative AI (GenAI), in a highly-technical customer-facing role. You will bridge the gap between our AI products and the customer's real-world business problems. Unlike a traditional sales engineer, you will own the end-to-end technical delivery, from understanding a client's needs to architecting, building, and deploying solutions directly for or on the customer's infrastructure. This role requires a blend of deep technical skill, strategic problem-solving, and communication with significant customer collaboration and travel often required. Your primary responsibility will be to construct rapid prototype Generative AI applications tailored to Google Cloud customers, catering to an unique clientele ranging from early stage startups to prominent, established companies. You will be a hybrid professional, blending the core competencies of an engineer with an aptitude for customer engagement and strategic problem-solving. This will often require you to lead with deep, bespoke implementation as the primary value proposition, ensuring that our core technology delivers demonstrable value in the customer's unique operational context. In this role, you will have close collaboration with our product and engineering teams to eliminate obstacles and shape the future trajectory of our offerings. You will be adept at disseminating lessons learned to customers and internal Google teams, translating one-off customer solutions into reusable, scalable assets. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $177,000-$263,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Be a trusted advisor by understanding customer business processes and objectives. Design and build end-to-end Generative AI solutions and multi-agent orchestrations, across AI, Data, and Infrastructure. Work with peers to integrate the full cloud stack. * Rapidly build production-grade prototypes delivering measurable outcomes. Write custom code for autonomous agentic workflows, integrate data sources, design ontologies, and deploy solutions directly on customer infrastructure. * Act as an advocate for the customer, gathering real-time feedback and insights. Formalize field-tested solutions into reusable modules or core features to drive innovation. Establish technical and business cases to support your recommendations. * Influence Google Cloud strategy and product direction by advocating for enterprise customer requirements, specifically around agentic reliability and reasoning accuracy. * Coordinate regional field enablement with leadership and collaborate with product and partner organizations on external enablement. Travel as needed.

Minimum qualifications: Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 8 years of experience in Python or other programming language(s) common in machine learning (e.g., Java, C++, Go). Experience in applied AI, with a focus on designing and evaluating systems around foundation models, including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and orchestrating model interactions with external tools to deliver complete solutions. Experience designing and implementing autonomous agents and multi-agent systems to automate multi-step business workflows. Experience architecting, deploying, or managing solutions on a Cloud Platform (e.g. Google Cloud Platform). Preferred qualifications: Master's degree in Computer Science, Engineering, or a related technical field. Software engineering management or project/program management experience. Experience training and fine-tuning models in large-scale environments with accelerators, with experience deploying production-grade AI agents that manage tool-use (i.e. function calling) and complex state management. Experience in systems design with the ability to architect data and ML pipelines, including advanced agentic patterns (e.g., Plan-and-Execute, multi-agent collaboration, and self-reflection loops). Ability to take initiative and apply strategic product insights to solve immediate customer challenges and unlock long-term value. About the job As a Field Solutions Architect, you will play a pivotal role in the Google Cloud AI Go-To-Market organization. You will be focused on frontier AI, including Generative AI (GenAI), in a highly-technical customer-facing role. You will bridge the gap between our AI products and the customer's real-world business problems. Unlike a traditional sales engineer, you will own the end-to-end technical delivery, from understanding a client's needs to architecting, building, and deploying solutions directly for or on the customer's infrastructure. This role requires a blend of deep technical skill, strategic problem-solving, and communication with significant customer collaboration and travel often required. Your primary responsibility will be to construct rapid prototype Generative AI applications tailored to Google Cloud customers, catering to an unique clientele ranging from early stage startups to prominent, established companies. You will be a hybrid professional, blending the core competencies of an engineer with an aptitude for customer engagement and strategic problem-solving. This will often require you to lead with deep, bespoke implementation as the primary value proposition, ensuring that our core technology delivers demonstrable value in the customer's unique operational context. In this role, you will have close collaboration with our product and engineering teams to eliminate obstacles and shape the future trajectory of our offerings. You will be adept at disseminating lessons learned to customers and internal Google teams, translating one-off customer solutions into reusable, scalable assets. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $177,000-$263,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Be a trusted advisor by understanding customer business processes and objectives. Design and build end-to-end Generative AI solutions and multi-agent orchestrations, across AI, Data, and Infrastructure. Work with peers to integrate the full cloud stack. Rapidly build production-grade prototypes delivering measurable outcomes. Write custom code for autonomous agentic workflows, integrate data sources, design ontologies, and deploy solutions directly on customer infrastructure. Act as an advocate for the customer, gathering real-time feedback and insights. Formalize field-tested solutions into reusable modules or core features to drive innovation. Establish technical and business cases to support your recommendations. Influence Google Cloud strategy and product direction by advocating for enterprise customer requirements, specifically around agentic reliability and reasoning accuracy. Coordinate regional field enablement with leadership and collaborate with product and partner organizations on external enablement. Travel as needed.

Apply share * link Copy link * email Email a friend info_outline XThe application window will be open until at least January 21, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Addison, TX, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; Los Angeles, CA, USA; New York, NY, USA; San Francisco, CA, USA. Minimum qualifications: * Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. * 6 years of experience in Python and relevant machine learning packages (e.g., Keras, Pytorch, HF Transformers). * Experience in applied AI with a focus on designing and evaluating systems around foundation models, including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and orchestrating model interactions with external tools to deliver complete solutions. * Experience designing and implementing autonomous agents and multi-agent systems to automate multi-step business workflows. * Experience architecting, deploying, or managing solutions on a cloud platform. Preferred qualifications: * Master's degree in Computer Science, Engineering, or a related technical field. * Experience training and fine-tuning models in large-scale environments with accelerators with a track record of deploying production-grade AI agents that manage tool-use (function calling) and complex state management. * Experience in systems design with the ability to architect data and ML pipelines, including advanced agentic patterns such as "Plan-and-Execute," multi-agent collaboration, and self-reflection loops. About the job As a Field Solutions Architect, you will play a pivotal role in the Google Cloud AI Go-To-Market organization. You will be focused on frontier AI, including Generative AI (GenAI), in a highly technical customer-facing role. You will bridge the gap between our cutting-edge AI products and the customer's real-world business problems. You will own the end-to-end technical delivery, from understanding a client's needs to architecting, building, and deploying solutions directly for or on the customer's infrastructure. You will be a hybrid professional, blending the core competencies of an engineer with an aptitude for customer engagement and strategic problem solving. This will often require you to lead with deep, bespoke implementation as the primary value proposition, ensuring that our core technology delivers demonstrable value in the customer's unique operational context. You will have close collaboration with our product and engineering teams to eliminate obstacles and shape the future trajectory of our offerings. You will be adept at disseminating lessons learned to customers and internal Google teams, translating one-off customer solutions into reusable, scalable assets. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Be a trusted advisor by understanding customer business processes and objectives. Design and build end-to-end generative AI solutions and multi-agent orchestrations across AI, data, and infrastructure. Work with peers to integrate the full cloud stack. * Build production-grade prototypes that deliver measurable outcomes. This includes writing custom code for autonomous agentic workflows, integrating data sources, designing data ontologies, and deploying solutions directly on customer infrastructure. * Represent the customer, gathering real-time feedback and insights. Formalize field-tested solutions into reusable modules or core features to drive innovation. Establish technical and business cases to support your recommendations. * Influence Google Cloud strategy and product direction by advocating for enterprise customer requirements, specifically around agentic reliability and reasoning accuracy. * Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement. Travel as needed.

_corporate_fare_ Google _place_ Addison, TX, USA; Atlanta, GA, USA; +7 more; +6 more **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XThe application window will be open until at least January 21, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Addison, TX, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; Los Angeles, CA, USA; New York, NY, USA; San Francisco, CA, USA** . **Minimum qualifications:** + Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. + 6 years of experience in Python and relevant machine learning packages (e.g., Keras, Pytorch, HF Transformers). + Experience in applied AI with a focus on designing and evaluating systems around foundation models, including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and orchestrating model interactions with external tools to deliver complete solutions. + Experience designing and implementing autonomous agents and multi-agent systems to automate multi-step business workflows. + Experience architecting, deploying, or managing solutions on a cloud platform. **Preferred qualifications:** + Master's degree in Computer Science, Engineering, or a related technical field. + Experience training and fine-tuning models in large-scale environments with accelerators with a track record of deploying production-grade AI agents that manage tool-use (function calling) and complex state management. + Experience in systems design with the ability to architect data and ML pipelines, including advanced agentic patterns such as "Plan-and-Execute," multi-agent collaboration, and self-reflection loops. **About the job** As a Field Solutions Architect, you will play a pivotal role in the Google Cloud AI Go-To-Market organization. You will be focused on frontier AI, including Generative AI (GenAI), in a highly technical customer-facing role. You will bridge the gap between our cutting-edge AI products and the customer's real-world business problems. You will own the end-to-end technical delivery, from understanding a client's needs to architecting, building, and deploying solutions directly for or on the customer's infrastructure. You will be a hybrid professional, blending the core competencies of an engineer with an aptitude for customer engagement and strategic problem solving. This will often require you to lead with deep, bespoke implementation as the primary value proposition, ensuring that our core technology delivers demonstrable value in the customer's unique operational context. You will have close collaboration with our product and engineering teams to eliminate obstacles and shape the future trajectory of our offerings. You will be adept at disseminating lessons learned to customers and internal Google teams, translating one-off customer solutions into reusable, scalable assets. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Be a trusted advisor by understanding customer business processes and objectives. Design and build end-to-end generative AI solutions and multi-agent orchestrations across AI, data, and infrastructure. Work with peers to integrate the full cloud stack. + Build production-grade prototypes that deliver measurable outcomes. This includes writing custom code for autonomous agentic workflows, integrating data sources, designing data ontologies, and deploying solutions directly on customer infrastructure. + Represent the customer, gathering real-time feedback and insights. Formalize field-tested solutions into reusable modules or core features to drive innovation. Establish technical and business cases to support your recommendations. + Influence Google Cloud strategy and product direction by advocating for enterprise customer requirements, specifically around agentic reliability and reasoning accuracy. + Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement. Travel as needed. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ New York, NY, USA; Atlanta, GA, USA; +13 more; +12 more **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XThe application window will be open until at least February 2, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. This role may also be located in our Playa Vista, CA campus. "Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act." Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: + Health, dental, vision, life, disability insurance + Retirement Benefits: 401(k) with company match + Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment + Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) + Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks + Baby Bonding Leave: 18 weeks + Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **New York, NY, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; Addison, TX, USA; Kirkland, WA, USA; Miami, FL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; Reston, VA, USA; Seattle, WA, USA; San Francisco, CA, USA; Washington D.C., DC, USA** . **Minimum qualifications:** + Bachelor's degree in Computer Science or equivalent practical experience in Software Engineering, Site Reliability Engineering (SRE), or DevOps. + 6 years of experience in Python and experience architecting scalable AI systems on cloud platforms. + Experience deploying conversational agents using code-based frameworks and build in real-time with customers utilizing modern generative AI tools. + Experience in deploying resources via Terraform or similar tools to automate the setup of agents, functions, and networking. + Experience building full-stack applications (not just scripts) that interact with enterprise IT infrastructures also in developing and driving customer projects forward in a timely manner. **Preferred qualifications:** + Master's or PhD in AI, Computer Science, or a related technical field. + Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google's ADK) and patterns like ReAct, self-reflection, and hierarchical delegation. + Experience debugging Agent logic (ReAct loops, Chain of Thought) and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real-time. + Experience connecting agents to enterprise knowledge bases and optimizing Retrieval-augmented generation (RAG) chunking to prevent hallucinations. + Ability to troubleshoot live, high-traffic systems during critical windows. + Ability to travel up to 50% of the time. **About the job** As a Field Solutions Architect (FSA) in Applied AI, you are the "Agent Engineer" and the primary delivery arm for our customers' most critical AI initiatives. You take initial conversational prototypes and transform them into production-ready solutions, owning the end-to-end engineering life-cycle, including the transition from "Art of the Possible" to real-world business value and scalable, secure AI systems. This is a high-travel, high-impact role focused on leading technical delivery for Conversational AI pilots and establishing the first Customer User Journeys (CUJs) for our largest customers at their sites. Your role requires an understanding of software engineering, MLOps, and cloud infrastructure.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Lead the development of Conversational AI and CX applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI. + Architect and code conversational flows that are not just functional, but optimized for the "connective tissue" between Google's Conversational AI products and customers' live infrastructure, including APIs, legacy data silos, and security perimeters. + Build high-performance evaluation (Eval) pipelines and observability frameworks to optimize agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking. + Identify repeatable field patterns and technical "friction points" in Google's AAI stack, converting them into reusable modules or product feature requests for engineering teams. + Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Apply share * link Copy link * email Email a friend info_outline XThe application window will be open until at least January 21, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Addison, TX, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; Los Angeles, CA, USA; New York, NY, USA; San Francisco, CA, USA. Minimum qualifications: * Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. * 6 years of experience in Python and relevant machine learning packages (e.g., Keras, Pytorch, HF Transformers). * Experience in applied AI with a focus on designing and evaluating systems around foundation models, including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and orchestrating model interactions with external tools to deliver complete solutions. * Experience designing and implementing autonomous agents and multi-agent systems to automate multi-step business workflows. * Experience architecting, deploying, or managing solutions on a cloud platform. Preferred qualifications: * Master's degree in Computer Science, Engineering, or a related technical field. * Experience training and fine-tuning models in large-scale environments with accelerators with a track record of deploying production-grade AI agents that manage tool-use (function calling) and complex state management. * Experience in systems design with the ability to architect data and ML pipelines, including advanced agentic patterns such as "Plan-and-Execute," multi-agent collaboration, and self-reflection loops. About the job As a Field Solutions Architect, you will play a pivotal role in the Google Cloud AI Go-To-Market organization. You will be focused on frontier AI, including Generative AI (GenAI), in a highly technical customer-facing role. You will bridge the gap between our cutting-edge AI products and the customer's real-world business problems. You will own the end-to-end technical delivery, from understanding a client's needs to architecting, building, and deploying solutions directly for or on the customer's infrastructure. You will be a hybrid professional, blending the core competencies of an engineer with an aptitude for customer engagement and strategic problem solving. This will often require you to lead with deep, bespoke implementation as the primary value proposition, ensuring that our core technology delivers demonstrable value in the customer's unique operational context. You will have close collaboration with our product and engineering teams to eliminate obstacles and shape the future trajectory of our offerings. You will be adept at disseminating lessons learned to customers and internal Google teams, translating one-off customer solutions into reusable, scalable assets. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Be a trusted advisor by understanding customer business processes and objectives. Design and build end-to-end generative AI solutions and multi-agent orchestrations across AI, data, and infrastructure. Work with peers to integrate the full cloud stack. * Build production-grade prototypes that deliver measurable outcomes. This includes writing custom code for autonomous agentic workflows, integrating data sources, designing data ontologies, and deploying solutions directly on customer infrastructure. * Represent the customer, gathering real-time feedback and insights. Formalize field-tested solutions into reusable modules or core features to drive innovation. Establish technical and business cases to support your recommendations. * Influence Google Cloud strategy and product direction by advocating for enterprise customer requirements, specifically around agentic reliability and reasoning accuracy. * Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement. Travel as needed.

_corporate_fare_ Google _place_ New York, NY, USA; Atlanta, GA, USA; +13 more; +12 more **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XThe application window will be open until at least February 2, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. This role may also be located in our Playa Vista, CA campus. "Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act." Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: + Health, dental, vision, life, disability insurance + Retirement Benefits: 401(k) with company match + Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment + Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) + Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks + Baby Bonding Leave: 18 weeks + Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **New York, NY, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; Addison, TX, USA; Kirkland, WA, USA; Miami, FL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; Reston, VA, USA; Seattle, WA, USA; San Francisco, CA, USA; Washington D.C., DC, USA** . **Minimum qualifications:** + Bachelor's degree in Computer Science or equivalent practical experience in Software Engineering, Site Reliability Engineering (SRE), or DevOps. + 6 years of experience in Python and experience architecting scalable AI systems on cloud platforms. + Experience deploying conversational agents using code-based frameworks and build in real-time with customers utilizing modern generative AI tools. + Experience in deploying resources via Terraform or similar tools to automate the setup of agents, functions, and networking. + Experience building full-stack applications (not just scripts) that interact with enterprise IT infrastructures also in developing and driving customer projects forward in a timely manner. **Preferred qualifications:** + Master's or PhD in AI, Computer Science, or a related technical field. + Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google's ADK) and patterns like ReAct, self-reflection, and hierarchical delegation. + Experience debugging Agent logic (ReAct loops, Chain of Thought) and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real-time. + Experience connecting agents to enterprise knowledge bases and optimizing Retrieval-augmented generation (RAG) chunking to prevent hallucinations. + Ability to troubleshoot live, high-traffic systems during critical windows. + Ability to travel up to 50% of the time. **About the job** As a Field Solutions Architect (FSA) in Applied AI, you are the "Agent Engineer" and the primary delivery arm for our customers' most critical AI initiatives. You take initial conversational prototypes and transform them into production-ready solutions, owning the end-to-end engineering life-cycle, including the transition from "Art of the Possible" to real-world business value and scalable, secure AI systems. This is a high-travel, high-impact role focused on leading technical delivery for Conversational AI pilots and establishing the first Customer User Journeys (CUJs) for our largest customers at their sites. Your role requires an understanding of software engineering, MLOps, and cloud infrastructure.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Lead the development of Conversational AI and CX applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI. + Architect and code conversational flows that are not just functional, but optimized for the "connective tissue" between Google's Conversational AI products and customers' live infrastructure, including APIs, legacy data silos, and security perimeters. + Build high-performance evaluation (Eval) pipelines and observability frameworks to optimize agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking. + Identify repeatable field patterns and technical "friction points" in Google's AAI stack, converting them into reusable modules or product feature requests for engineering teams. + Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ Addison, TX, USA; Atlanta, GA, USA; +7 more; +6 more **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XThe application window will be open until at least January 21, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Addison, TX, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; Los Angeles, CA, USA; New York, NY, USA; San Francisco, CA, USA** . **Minimum qualifications:** + Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. + 6 years of experience in Python and relevant machine learning packages (e.g., Keras, Pytorch, HF Transformers). + Experience in applied AI with a focus on designing and evaluating systems around foundation models, including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and orchestrating model interactions with external tools to deliver complete solutions. + Experience designing and implementing autonomous agents and multi-agent systems to automate multi-step business workflows. + Experience architecting, deploying, or managing solutions on a cloud platform. **Preferred qualifications:** + Master's degree in Computer Science, Engineering, or a related technical field. + Experience training and fine-tuning models in large-scale environments with accelerators with a track record of deploying production-grade AI agents that manage tool-use (function calling) and complex state management. + Experience in systems design with the ability to architect data and ML pipelines, including advanced agentic patterns such as "Plan-and-Execute," multi-agent collaboration, and self-reflection loops. **About the job** As a Field Solutions Architect, you will play a pivotal role in the Google Cloud AI Go-To-Market organization. You will be focused on frontier AI, including Generative AI (GenAI), in a highly technical customer-facing role. You will bridge the gap between our cutting-edge AI products and the customer's real-world business problems. You will own the end-to-end technical delivery, from understanding a client's needs to architecting, building, and deploying solutions directly for or on the customer's infrastructure. You will be a hybrid professional, blending the core competencies of an engineer with an aptitude for customer engagement and strategic problem solving. This will often require you to lead with deep, bespoke implementation as the primary value proposition, ensuring that our core technology delivers demonstrable value in the customer's unique operational context. You will have close collaboration with our product and engineering teams to eliminate obstacles and shape the future trajectory of our offerings. You will be adept at disseminating lessons learned to customers and internal Google teams, translating one-off customer solutions into reusable, scalable assets. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Be a trusted advisor by understanding customer business processes and objectives. Design and build end-to-end generative AI solutions and multi-agent orchestrations across AI, data, and infrastructure. Work with peers to integrate the full cloud stack. + Build production-grade prototypes that deliver measurable outcomes. This includes writing custom code for autonomous agentic workflows, integrating data sources, designing data ontologies, and deploying solutions directly on customer infrastructure. + Represent the customer, gathering real-time feedback and insights. Formalize field-tested solutions into reusable modules or core features to drive innovation. Establish technical and business cases to support your recommendations. + Influence Google Cloud strategy and product direction by advocating for enterprise customer requirements, specifically around agentic reliability and reasoning accuracy. + Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement. Travel as needed. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

info_outline XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year This role may also be located in our Playa Vista, CA campus. "Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act." Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA. Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience as an enterprise architect, or in a customer-facing role. Experience engaging with, and presenting to, technical stakeholders and executive leaders. Preferred qualifications: Experience with structured enterprise architecture practices, hybrid cloud deployments, and on-premise to cloud migration deployments and roadmaps. Experience in enterprise technology buying and evaluation processes along with large-scale computing solutions. Experience in building, architecting, designing and implementing distributed global cloud-based systems. Knowledge of technology solutions. Ability to learn and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space. Ability to deliver results and work cross-functionally to position and orchestrate a solution consisting of multiple products. About the job When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. As part of the Customer Engineering organization in Google Cloud, Principal Architects lead cross-functional teams of experts to help customers design, plan, implement, and govern enterprise cloud strategies.The Google Cloud Principal Architect role is a hybrid technical and business advisor role. In this role, you will lead the conversation, and direct the execution of the Sales team by combining both technical goal and business insight. You will partner with Value Engineering to articulate the true total value of each technical solution and the overall business partnership with Google Cloud. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $186,000-$261,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Build a trusted advisory relationship with strategic accounts and engage with Architects, Vice President (VP) Engineering, Chief Technical Officer (CTO) and Chief Information Officer (CIO), and identify customer priorities, technical objections and design strategies encompassing the entire Google ecosystem to deliver business value and resolve blockers. Provide domain expertise around public cloud and enterprise technology, and effectively promote Google Cloud with customers, at conferences, and online. Make recommendations on integration strategies, enterprise architectures, platforms and application infrastructure required to successfully implement a complete solution providing best practice advice to customers to optimize Google Cloud effectiveness. Manage the enterprise architecture relationship with customers by collaborating with specialists, product management, engineering, and more. Travel to customer sites, conferences, and other related events as needed.

info_outline XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Mountain View, CA, USA. Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience in advertising sales and media account management. Preferred qualifications: Experience driving business growth and maintaining client relationships. Experience exceeding business goals. Knowledge of business and working with and educating new advertisers. Ability to deliver comprehensive advertising solutions over the phone. Ability to work well with a team, be proactive, and organized. Excellent verbal and written communication skills. About the job Businesses of all shapes and sizes rely on Google's unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and your customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals. The Accelerated Growth team aims to approach existing advertisers and increase their Google Ads investment through strategies. As a Digital Strategy Lead, you will drive business growth, solution promoting and consulting with clients to work with an engaged team, and bring creativity to grow and expand the business. Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you'll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it. The US base salary range for this full-time position is $84,000-$120,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Identify customers and leads via provided account list. Manage pipeline and develop a strategy. Grow customers' Google Ads footprint by presenting customized search marketing solutions. Implement creative ways to expand customers' existing accounts, tailor and share performance-enhancing suggestions, and promote other Google products. Communicate proactively with customers, via phone, email, and in-person. Deliver against assigned goals while prioritizing and delivering an excellent customer experience to Google's advertisers.

Apply share * link Copy link * email Email a friend info_outline XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Kirkland, WA, USA; Mountain View, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA. Minimum qualifications: * Bachelor's degree or equivalent practical experience. * 10 years of experience as an enterprise architect or customer-facing role. * Experience engaging with, and presenting to, technical stakeholders and executive leaders. Preferred qualifications: * Experience with structured enterprise architecture practices, hybrid cloud deployments, and on-premise to cloud migration deployments and roadmaps. * Experience in enterprise technology buying and evaluation processes paired with large scale computing solutions. * Experience in building, architecting, designing and implementing distributed global cloud-based systems. * Knowledge of technology solutions with the ability to learn and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space. * Ability to deliver results and work cross-functionally to position and orchestrate a solution consisting of multiple products. About the job When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $186,000-$261,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Build a trusted advisory relationship with strategic accounts and engage with Architects, Vice President (VP) engineering, Chief Technical Officer (CTO) and Chief Information Officer (CIO), and identify customer priorities, technical objections and design strategies encompassing the entire Google ecosystem to deliver business value and resolve blockers. * Provide domain expertise around public cloud and enterprise technology, and effectively promote Google Cloud with customers, at conferences, and online. * Make recommendations on integration strategies, enterprise architectures, platforms and application infrastructure required to successfully implement a complete solution providing best practice advice to customers to optimize Google Cloud effectiveness. * Manage the holistic enterprise architecture relationship with customers by collaborating with specialists, product management, engineering, and more. * Travel to customer sites, conferences, and other related events as required.

Apply share * link Copy link * email Email a friend info_outline XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; San Francisco, CA, USA. Minimum qualifications: * Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. * 10 years of experience as an enterprise architect or equivalent experience in a customer-facing role. * Experience in cloud market insights and cloud computing across applications, infrastructure, storage, platforms, or data. * Experience engaging with, and presenting to, technical stakeholders and executive leaders. * Experience with state, local and higher education markets in the state of California. Preferred qualifications: * Experience with structured enterprise architecture practices, hybrid cloud deployments, and on-premise-to-cloud migration deployments and roadmaps. * Experience in enterprise technology buying and evaluation process paired with a understanding of computing solutions and experience in building, architecting, designing and implementing highly distributed global cloud-based systems. * Knowledge of technology solutions with the ability to learn and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space. * Ability to deliver results and work cross-functionally to position and orchestrate a solution consisting of multiple products. About the job The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full-stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As part of the Customer Engineering organization in Google Public Sector, you will lead cross-functional teams of experts to help customers design, plan, implement, and govern cloud strategies in the public sector space for higher education customers in California. You will be a part of the Google Cloud Principal Architect which is a hybrid technical and business advisor role. In this role, you will exhibit executive level qualities, lead the conversation, and direct the execution of the sales team by combining both technical direction and business insight. You will partner with value engineering to articulate the true total value of each technical solution and the overall business partnership with Google Public Sector.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $147,000-$218,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Build a trusted advisory relationship with accounts and engage with Architects, VP Engineering, CTO and CIO, and identify customer priorities, technical objections and design strategies encompassing the entire Google ecosystem to deliver business value and resolve blockers. * Provide domain expertise around public cloud and enterprise technology, and effectively promote Google Cloud with customers, at conferences, and online. * Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution while providing best practices to customers to optimize Google Cloud effectiveness. * Manage the enterprise architecture relationship with customers by collaborating with specialists, product management, technical teams, and more. * Execute onsite client-facing work at least 3 days a week.

Apply share * link Copy link * email Email a friend info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Mountain View, CA, USA. Minimum qualifications: * Bachelor's degree or equivalent practical experience. * 3 years of experience troubleshooting technical issues for internal/external partners or customers. * Experience in either system design or reading code (e.g., Java, C++, Python). Preferred qualifications: * Master's degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field. * 5 years of experience managing projects and working with analytics, software coding, or customer-side web technologies. * 5 years of experience with data analysis and SQL/MySQL. * 5 years of experience in a customer-facing role. * 5 years of experience in operations management (i.e. process improvement, operational reviews, optimizing workflows, etc.). * 5 years of experience working with Unix or Linux operating systems/commands. About the job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. The Health Platforms and Devices team builds innovative products and services that help our users live longer, healthier lives. We bring together the best of Google technologies and AI, health behavior science, and user-centered design to help users organize the health and wellness data, get insight from it, and take action toward their health goals. We do this with a suite of apps, services, and health wearables. We aim to make consumer health more personal, proactive, and actionable. Responsibilities * Help to build and maintain strategic relationships with key stakeholders in customer or partner organizations to deliver or manage quality technical solutions and services. * Verify the functionality of a developer product feature and provide meaningful feedback to product/engineering teams that result in improvements to the developer experience. * Create product requirement documents (PRDs) to record product specifications, validate PRDs to ensure customer/partner and internal needs are met, with limited guidance. * Help scale existing or create repeatable solutions (e.g., best practices recommendations, tutorials, blog articles, sample code) and ensure effective documentation of repeatable solutions with minimal guidance. * Help write solution code in collaboration with internal or external developers/users/partners/clients/stakeholders (as needed).

_corporate_fare_ Google _place_ London, UK; Mountain View, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **London, UK; Mountain View, CA, USA** . **Minimum qualifications:** + Bachelor's degree or equivalent practical experience. + 3 years of experience troubleshooting technical issues for internal/external partners or customers. + Experience in either system design or reading code (e.g., Java, C++, Python). **Preferred qualifications:** + Master's degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field. + 5 years of experience managing projects and working with analytics, software coding, or customer-side web technologies. + 5 years of experience with data analysis and SQL/MySQL. + 5 years of experience in a customer-facing role. + 5 years of experience in operations management (i.e. process improvement, operational reviews, optimizing workflows, etc.). + 5 years of experience working with Unix or Linux operating systems/commands. **About the job** As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. The Health Platforms and Devices team builds innovative products and services that help our users live longer, healthier lives. We bring together the best of Google technologies and AI, health behavior science, and user-centered design to help users organize the health and wellness data, get insight from it, and take action toward their health goals. We do this with a suite of apps, services, and health wearables. We aim to make consumer health more personal, proactive, and actionable. **Responsibilities** + Help to build and maintain strategic relationships with key stakeholders in customer or partner organizations to deliver or manage quality technical solutions and services. + Verify the functionality of a developer product feature and provide meaningful feedback to product/engineering teams that result in improvements to the developer experience. + Create product requirement documents (PRDs) to record product specifications, validate PRDs to ensure customer/partner and internal needs are met, with limited guidance. + Help scale existing or create repeatable solutions (e.g., best practices recommendations, tutorials, blog articles, sample code) and ensure effective documentation of repeatable solutions with minimal guidance. + Help write solution code in collaboration with internal or external developers/users/partners/clients/stakeholders (as needed). Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ Mountain View, CA, USA **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. **Minimum qualifications:** + Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. + 7 years of experience in solution engineering or architecture. + 6 years of experience in software technology or technical partner management in Android or other Linux-based embedded systems. + 5 years of experience in stakeholder management, professional services, or technical consulting. + 3 years of experience writing code in one or more programming languages (e.g., Python, Java). **Preferred qualifications:** + Master's degree in Engineering, Computer Science, or related technical fields. + 2 years of experience in Android platform or application development. + Experience in consulting, technical consulting in a customer-facing role, with results working with a variety of different types of customers, engineers, and business. **About the job** The Android Partner Engineering team (APE) works closely with the Android device ecosystem to extend the boundaries of the Android platform. The team is engaged with Original Equipment Manufacturer (OEMs), carriers, chip-set vendors and Original Design Manufacturers (ODMs) across the globe and work in a changing technology driven environment. As a Technical Solutions Consultant in Android Partner Engineering (TSC in APE), you will serve as the engagement manager responsible for the success of key Android and Google apps partnerships with Android OEMs. You will lead deployments, optimize implementations and integrations to drive new business opportunities, and manage the technical aspects to build strong and long-term Android partnerships. As a technical expert, you will leverage a broad set of tools and technologies to deliver and optimize solutions that align with the business objectives of the product in the Android ecosystem. The US base salary range for this full-time position is $177,000-$263,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Advocate new features and policy with Google's products including Google Mobile Services (GMS) apps and Android, resolve technical tests promptly, and ensure enablement and launches of the products in quality. + Ensure the seamless integration and customization of a partner's solution by providing the necessary technical guidance. + Improve Android product features, by providing partner feedback to internal cross-functional teams including product management, business development and engineering. + Oversee engineering projects with partners, ensuring they stay on track and are completed as planned by creating and maintaining project plans, driving issue resolution, and facilitating communication for alignment and necessary escalations. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ New York, NY, USA; Sunnyvale, CA, USA; +2 more; +1 more **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **New York, NY, USA; Sunnyvale, CA, USA; Seattle, WA, USA** . **Minimum qualifications:** + Bachelor's degree or equivalent practical experience. + 3 years of experience in either system design or in one programming language (Java, C++, Python, etc.). + 3 years of experience in technical troubleshooting, and managing internal/external partners or customers. **Preferred qualifications:** + Master's degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field. + Experience using Google Ads or other online advertising solutions and the media/tech landscape. + Experience in a customer-facing role translating technical concepts and solutions to non-technical and executive audiences. + Experience in business analysis to conduct analytics, develop dashboards, and make recommendations. + Experience with big data platforms and large volume data analytics. + Ability to work well in a dynamic environment to solve problems and think critically. **About the job** The Customer Solutions Engineering team is responsible for developing solutions to the business problems faced by the world's largest advertisers. In this role, you will use the coding abilities, communication skills, desire to solve problems, passion for scale and big data, and business acumen to develop answers to questions. Your solutions will take many forms, from prototypes and demos to education all with the technology resources of Google to back it up. You will be responsible for identifying and prioritizing your own projects. You will see the unique business issues faced by our largest advertisers. Working across the entire organization, you will have the chance to leverage your wide-ranging experience and skill-set to find the best solution for the problems. Google creates products and services that make the world a better place, and gTech's role is to help bring them to life. Our teams of solution-oriented trusted advisors support millions of customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers' needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. Google creates products and services that make the world a better place, and gTech's role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers' complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. To learn more about gTech, check out ourvideo (******************************************** . The US base salary range for this full-time position is $123,000-$176,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Manage technical relationships with a select client portfolio. + Work with business to identify business opportunities leveraging both display and performance solutions supported by the team. + Collect requirements, provide guidance and best practices to apply ad products and technologies to achieve advertisers' business goals. + Design and implement cross-product customized solutions with the client. + Be responsible for end-to-end implementations and escalations managed by other Google teams for named accounts. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************