Solutions architect jobs in Fremont, CA

As a 3DEXPERIENCE Solution Architect, you will lead the design and implementation of PLM (Product Lifecycle Management) solutions using Dassault Systèmes' 3DEXPERIENCE platform. You'll work closely with clients to understand their business processes and translate them into scalable, integrated digital solutions that drive innovation and efficiency. 🎯 Key Responsibilities: Lead architecture design and solution planning using 3DEXPERIENCE, CATIA, DELMIA, ENOVIA, and EXALEAD. Capture and analyze customer business processes across industries such as aerospace, automotive, marine, and high-tech. Define architecture vision and roadmap aligned with Dassault Systèmes' Value Engagement methodology. Customize and configure 3DEXPERIENCE platform modules Ensure continuity between pre-sales value propositions and post-sales implementation. Collaborate with cross-functional teams to ensure project feasibility, delivery quality, and customer satisfaction. Support upgrades, migrations, and integrations with third-party systems. Provide technical leadership and mentoring to consultants and developers. 🧩 Required Skills & Qualifications: Bachelor's or Master's degree in Engineering, Computer Science, or related field. 8-10 years of experience in PLM implementation, with 5+ years in 3DEXPERIENCE architecture roles. Deep expertise in Dassault Systèmes technologies and platform customization. Strong understanding of data modeling, process mapping, and system integration. Excellent communication and stakeholder management skills. Fluent in English; additional languages are a plus. Willingness to travel for client engagements. 🌟 Preferred Extras: Experience in Marine & Offshore, Aerospace, or Automotive sectors. Familiarity with 3DEXPERIENCE upgrade and environment setup. Knowledge of integration with ERP, MES, or other enterprise systems. Certification in Dassault Systèmes platforms or methodologies.

Creospan is a growing tech collective of makers, shakers, and problem solvers, offering solutions today that will propel businesses into a better tomorrow. “Tomorrow's ideas, built today!” In addition to being able to work alongside equally brilliant and motivated developers, our consultants appreciate the opportunity to learn and apply new skills and methodologies to different clients and industries. ******NO C2C/3RD PARTY, LOOKING FOR W2 CANDIDATES ONLY, must be able to work in the US without sponsorship now or in the future*** Solutions Architect III Menlo Park, CA Long term Contract Responsibilities: Inspire, educate and engage early developers on the opportunities in building for Client's portfolio of AI glasses. Work directly with 3rd-party developers to develop engaging integrations for our AI glasses. Develop knowledge in and integrate with 3rd-party applications and services. Raise the quality of integrations being developed on the platform. Identify opportunities for improving integrations and prototype solutions at scale. Collect valuable product feedback and feed it back into the program. Prototype potential future features to understand their value and complexity. Drive quality improvements through user research and other methods, working with design to create not just technical solutions but ones that are high quality for end users. Minimum Qualification: 5 or more years of related experience in a partner facing role. Hands-on UX experience and a passion for quality. Experience with iOS or Android mobile development. Familiarity with the landscape of AI developer productivity tools (e.g., code generation, testing, and debugging assistants). Proven communication, influencing and problem-solving skills. Resourceful, action-orientated with experience to get things done independently and overcome obstacles by developing creative solutions to problems. Willingness to travel 25% of the time. Bachelor's Degree or higher. Top 3 must-have HARD skills: Client side development of either Android or IOS. AI Developer productivity poles. Partner facing experience. Communication skills - influencing and problem solving skills. Good to have skills: Experience with wearables. AI and ML principles and applications. Developer relationship experience. Adding additional support to wearables developer platform.

Job Title: Salesforce Solution Architect - CPQ / Revenue Cloud Employment Type: Full time with Criticalriver About the Role We are seeking an experienced Salesforce Solution Architect with deep expertise in Salesforce CPQ and strong knowledge of Revenue Cloud and Field Service to join our Salesforce practice. This individual will serve as the strategic and technical leader for designing, architecting, and delivering high-impact Salesforce solutions that drive business transformation and measurable outcomes for our clients. Key Responsibilities Lead end-to-end Salesforce solution design with a focus on CPQ, Revenue Cloud, and Field Service implementations. Translate complex business requirements into scalable, secure, and high-performing Salesforce solutions. Serve as the CPQ subject matter expert (SME) - guiding discovery, solution design, and delivery teams. Architect data models, system integrations, and automation frameworks to support quoting, billing, and service workflows. Partner with stakeholders to develop technical roadmaps, proof-of-concepts (PoCs), and reusable solution components. Ensure seamless integration with enterprise systems using APIs, MuleSoft, or middleware platforms. Collaborate with Sales, Pre-Sales, and Delivery teams on solution estimation, design reviews, and client presentations. Establish Salesforce best practices, governance standards, and DevOps pipelines (Copado, Gearset, or similar). Support continuous improvement through enablement, documentation, and mentorship of consultants and developers. Required Qualifications 8+ years of Salesforce experience with at least 5+ years of hands-on Salesforce CPQ architecture and implementation experience. Proven track record delivering complex CPQ and Revenue Cloud projects across multiple industries. Deep understanding of Product modeling, Pricing strategies, Advanced Approvals, and Quote-to-Cash processes. Strong knowledge of Sales Cloud, Service Cloud, and Field Service Lightning architecture. Hands-on experience with integration patterns, custom development, and AppExchange solutions. Experience in Agile/Scrum delivery environments using Jira or similar tools. Strong communication skills with the ability to lead discussions with executive stakeholders. Preferred Qualifications Salesforce Certifications: Salesforce CPQ Specialist / Advanced CPQ Specialist Sales Cloud / Service Cloud Consultant Platform App Builder or Architect-level certifications Experience with DocuSign, Advanced Approvals, OmniStudio, or Revenue Recognition tools. Prior experience in consulting environments serving enterprise clients.

We seeking a Varicent Subject Matter Expert (SME) to support and enhance our Incentive Compensation Management (ICM) platform. The ideal candidate will have deep expertise in Varicent ICM architecture, configuration, and operations, and will play a key role in delivering scalable, accurate, and efficient compensation solutions. Responsibilities: Design, configure, and maintain Varicent ICM modules including Composer, Calculations, Reports, Web Forms, Schedules, Model Building, System Configuration, ETL, and Security. Build scalable Varicent models and ensure data integrity across all compensation processes. Develop automated ETL workflows and integrate Varicent with internal and external databases and systems. Troubleshoot calculation logic, model performance, data issues, and access/security controls. Partner with cross-functional teams to define business requirements and deliver enhancements. Ensure development aligns with Agile methodology, participating in sprint planning, standups, and reviews. Collaborate with teams using Jira, Confluence, Bitbucket, Jenkins, and Git for development, documentation, and CI/CD processes. Deliver high-quality documentation and provide user support/training as needed. Drive continuous improvement of Varicent capabilities and compensation operations. Qualifications: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (or equivalent work experience). Hands on experience with Varicent ICM, including end to end model development and administration. Expertise in Composer, calculations, reporting, workflow scheduling, ETL pipelines, security configuration, and system integrations. Advanced understanding of data modeling, SQL, and performance optimization in Varicent. Solid experience working in Agile environments. Proficiency with development/infrastructure tools: Jira, Confluence, Bitbucket, Jenkins, Git. Excellent communication, problem-solving, and organizational skills. Proven ability to work effectively in a highly collaborative team environment. Experience in large scale enterprise incentive compensation environments. Familiarity with SaaS compensation platforms and enterprise system integrations. Background in networking, technology, or sales operations.

We're looking for a hands-on Salesforce architect who specializes in CPQ and has strong familiarity with FSL & Revenue Cloud. This role is responsible for shaping technical direction, designing end-to-end solutions, and ensuring successful delivery of Salesforce programs that streamline sales, billing, and service operations. What You'll Do Define the overall architecture for Salesforce engagements, with a heavy emphasis on CPQ and Quote-to-Cash capabilities. Break down business challenges and design scalable, secure, and efficient Salesforce solutions. Act as the lead expert for CPQ-guiding workshops, validating requirements, and supporting delivery teams. Create data architectures, integration strategies, and automation frameworks for quoting, billing, and service workflows. Build technical prototypes and reusable solution components, and contribute to long-term technology roadmaps. Oversee integrations with enterprise systems through APIs, MuleSoft, or other middleware tools. Support sales cycles by contributing to estimates, design proposals, and client-facing technical discussions. Establish development standards, governance models, and DevOps processes using tools such as Copado or Gearset. Mentor team members and support internal enablement through documentation and knowledge sharing. Required Experience 8+ years working with Salesforce, including 5+ years designing and delivering CPQ solutions. Experience leading large, multi-cloud Salesforce programs, particularly involving CPQ and Revenue Cloud. Deep understanding of product configuration, pricing logic, approvals, and overall Quote-to-Cash processes. Strong grasp of Sales Cloud, Service Cloud, and Field Service architectural components. Hands-on experience with system integrations, custom development, and AppExchange applications. Background working within Agile teams and tools such as Jira. Excellent communication skills, with comfort presenting technical solutions to senior leaders. Preferred Experience Salesforce certifications including CPQ Specialist/Advanced, Sales Cloud, Service Cloud, Revenue Cloud, Field Service, Platform App Builder, or Architect-level credentials. Familiarity with tools such as DocuSign, Advanced Approvals, OmniStudio, or revenue recognition systems. Prior consulting experience supporting enterprise clients.

We have an immediate opening for a Anaplan Solution Architect with a leading IT service/solutions provider in USA. Role: Anaplan Solution Architect Top Skills: 1. Solution Architect in Anaplan 2. Understand the Demand planning , Supply Planning , S&OP and FP&A business 3. Should be communicate well and convert business requirement into technical design and development. Role & Responsibilities: Job Description/ Responsibilities • Coordinating and Drive UAT cycle for business users and publish the UAT results. • Creating Functional and Technical/ SOP documents for end users on Anaplan developed models. • Migration of Anaplan models to production workspace and supporting and fixing end users issues. • Provide user training on Anaplan developed models and UX/UI. Skills: • Resource should understand the Agile way working for Anaplan. • Understand the user stories listed in sprint and convert them into Anaplan deliverable. • Resource should have good communication skill to talk to business users to remove any roadblocks during sprint development. • Resource should be capable to driving sessions for end users and show them developed functionalities in Anaplan and take feedback and implement same. • Resource should be able to coordinate with different team for integration need of Anaplan. • Resource should have good model design and development capabilities in Anaplan with understanding of DISCO and PLAN standards to avoid any performance challenges. • Resource should have knowledge on UX and UI capabilities of Anaplan to develop end users Anaplan APPs. • Resource should have a clear understanding of financial planning process and should be able to understand the business language and convert them to Anaplan deliverables • Should have a good understanding of Anaplan security (Selective access and DCA) • Should have good knowledge on model and workspace management. • Should be solution architect certified with FP&A planning, Demand and supply planning background. • Resource should have good debugging and problem-solving capabilities to trouble shoot productions issues • Resource should be delivery focused and should be capable to meeting agreed timelines.

Principal / Senior Cloud Solution Architect(US) This position offers flexible location options and is open to candidates based in Palo Alto, Los Angeles, or Seattle. Duties and Responsibility: Become a Subject Matter Expert (SME) in the Tencent Cloud Services Platform Remove Sales obstacles by providing internal consulting, training, and knowledge support Partner with Sales to build long-term account relationships, that deliver ongoing business value Develop Tencent Cloud-based demonstrations and solutions that successfully meet customer requirements Collaborate with internal Product and Engineering teams to diagnose and resolve problem cases Contribute to solution design, technical documentation, and complete awareness within the Solutions Team Requirements: Ability to communicate in English and Mandarin with international teams preferred but not required. Bachelor's degree (or higher), with exposure to computer science, math, engineering, or equivalent practical experience 5+ years' experience in a Solutions Engineering or Pre/Post-Sales role, or demonstrated success in a related field Experience with physical and virtualized infrastructure, operating systems, and software configuration Experience with CDN/web caching, large file download, HTTP headers, and HTTP debugging tools Exposure to DNS, load balancing, HTTP web applications, mobile apps, and live streaming (audio/video) Experience in A/B testing, HTTP application and network performance analysis, and technical report writing Awareness of cloud compute cost models, network topology, platform services, and common storage option Awareness of Amazon Web Services (AWS), Google Cloud Platform (GCP), and other cloud providers Overall technical savvy with demonstrated ability in work in a small team setting, owning complex technical projects with international scope Experience managing and collaborating on long-term implementation projects, with documented results Lateral and logical troubleshooting, follow-through and problem-solving skills, resourcefulness, attention to detail, and communication skills Preferred candidates for this position should also have: Certification in one or more of Amazon Web Services (AWS), Google Cloud Platform (GCP), or another cloud providers The base pay range for this position in the state(s) above is $115,800 to $212,300 per year. Actual pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign-on payment, relocation package, and restricted stock units may be provided as part of the compensation package, as well as other medical, financial, and/or other benefits, dependent on the specific position offered. About Tencent Cloud International: Tencent Cloud International (TCI) is responsible for promoting the company's oversea cloud and industry Internet strategy. TCI explores the interactions between users and industries to create innovative solutions for smart industries via technological advancements such as cloud, AI, media services, and network security. While driving the digitalization of Gaming, Financial, OTT & Media, Web3, Education, and other industries, TCI helps companies serve users in smarter ways, building a new oversea ecosystem of intelligent industries that connect users and businesses.

About Us: Turbalance AI is an innovative, emerging startup that transforms AI laws. We are a team of passionate problem-solvers who believe in what we're building. We constantly push boundaries and embrace our inner nerds as we find new ways to tackle complex challenges. You will find a dynamic work environment here, with flat or even nonexistent hierarchies and the chance to take on responsibility from day one. About the Role: We're looking for a Solutions Architect, GTM to join our growing team! In this role, you'll be a key technical partner for our customers across the entire customer lifecycle-from pre-sales technical support through onboarding, implementation, and ongoing enablement. If you're a technically versatile problem-solver with a passion for helping customers succeed and want to build a great company, we want to hear from you. We're looking for candidates who can grow across both domains: Infrastructure & DevOps Focused: Strong in infrastructure design, DevOps, software development, and performance analysis. Experience integrating products into mission-critical infrastructure with fluency in SLAs, system design, and incident response. Systems & Network Processing Focused: Focused on network processing, data flows, device/system software design, and hardware integration. Background working with high-performance middleware or analytical software. What You'll Do: Customer Engagement & Enablement Guide customers through onboarding, ensuring they are fully prepared and proficient in using our solutions Conduct training sessions and develop enablement materials tailored to customer needs Proactively identify opportunities for customers to maximize platform value Act as a trusted technical advisor, offering best practices and solutions to common challenges Technical Implementation & Support Provide hands-on support for solution setup and configuration within customer environments Support API and system integrations with existing customer infrastructure Diagnose and resolve technical issues, collaborating with engineering teams on complex problems Troubleshoot connectivity, performance, and deployment challenges Pre-Sales Technical Support Support the sales team with domain expertise and technical credibility Demonstrate technical capabilities and solution fit during the sales process Design integration approaches and implementation plans for prospective customers Cross-Functional Collaboration Gather customer feedback and relay insights to product and engineering teams Reduce workload on core engineering teams by handling customer-facing technical work Provide responsive, dedicated customer engagement to build long-term relationships What You'll Bring: Strong background working with diverse technology stacks, with ability to quickly learn and adapt to new technologies Solid coding foundation with C++ and Python as must-haves; demonstrable understanding of robust software development principles Understanding of the interplay between software and hardware behavior and performance (GPUs, CPUs, networking) Proficiency with Kubernetes for deploying, scaling, and managing containerized applications Genuine desire to help customers achieve their goals, with excellent communication and interpersonal skills; prior experience in deep, durable customer-facing technical roles Ability to thrive in a fast-paced, multidisciplinary, dynamic environment while managing multiple priorities Bonus Points: Experience with additional programming languages (PyTorch, Rust, Go) Familiarity with cloud platforms (AWS, Azure, GCP) Experience with OpenStack and/or Slurm Knowledge of network operating systems and hardware (Arista, Cisco, Mellanox) and network engineering (especially switching) Familiarity with AI/HPC networking protocols (RoCE and/or InfiniBand) Demonstrable experience with performance characterization and profiling, especially for processors, memory systems, and networks Experience with kernel debugging Experience with LLM deployments, even at small scale Background in infrastructure design, SLAs, system design, and incident response Field Applications Engineering or similar hardware-focused customer engineering experience Why Join Us? Competitive pay & perks -because great work deserves great rewards. Work on your terms - flexible hours and remote-friendly culture. Fast lanes, no red tape - flat hierarchies and rapid decision-making Make it happen - your ideas aren't just heard - they become reality. Right place, right time -be part of our growth story and build a career-defining legacy. Globality design - work with a diverse, international team across Germany and the US. Work with the best - work alongside exceptional engineers and raise the bar together. Turba AI is an equal opportunity employer. We value and celebrate diversity while fostering an inclusive environment. We are committed to providing a workplace free from discrimination or harassment, regardless of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability.

Job Title : - Principal ML Architect (Machine Learning) Type of Employment : - Fullltime What's in it for you :- As a Machine Learning / Deep Learning Architect you will: Lead the design of ML/DL architectures for multi-modal data (imaging, clinical, omics) in both exploratory and GxP-regulated environments. Integrate Gen AI and conversational analytics to create intelligent workflows and next-gen solutions. Develop proofs of concept and validate models for mission-critical healthcare applications. Key Responsibilities · Design ML/DL architecture for multi-modal data (imaging, clinical, omics) supporting algorithms development in exploratory and GxP regulated environments · Architect and Design Algorithims applications portability for internal and external deployments in regulated environment · Build scalable pipelines for training, inference, and model deployment · Handle model life cycle · Ensure compliance with 21 CFR Part 11, HIPAA, GxP and SaMD standards · Collaborate with cross-functional teams to align architecture with regulatory and operational requirements · Create proof of concept for important areas · Gen AI integration and LLM usage for intelligent workflows & conversational analytics · GxP and SaMD validate models Required Skills & Experience · 15 years of experience · Extensive experience with AWS ML / Deep Learning services(HPC with job schedulers) e.g., SageMaker, EC2 GPU instances, EKS etc. · Extensive experience with ML Ops · Extensive experience working in validated environments · Extensive experience with python-based ml / deep learning frameworks · Knowledge of imaging standards · Worked in radiology & digital pathology · Worked in ophthalmology / neurology / oncology disease areas Educational Qualifications: - Engineering Degree - BE/ME/BTech/MTech/BSc/MSc. Technical certification in multiple technologies is desirable. Recruiter Details : - Name : - Prashant Pal Email I'd : - *********************

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. Solutions Architect with Agentic AI & microservices experience Bay Area, CA (Onsite) Full Time Job Description We are seeking a highly skilled Solutions Engineer to architect and deploy next-generation enterprise automation solutions powered by an Agentic AI Platform. This role blends deep technical architecture expertise with a Forward Deployed Engineer (FDE) engagement model-working directly with customers to design, implement, and scale AI-driven workflows. You will build secure, high-performance enterprise solutions using Agent-to-Agent communication, Model Context Protocol (MCP), and modern microservice/API frameworks. The ideal candidate thrives in fast-moving, ambiguous environments and brings strong experience with Python frameworks (Django, Flask, FastAPI), microservices, APIs, and security. Must-Have Highlight (Key Requirement): ✔ Hands-on expertise building and deploying enterprise applications using Python frameworks (Django, Flask, or FastAPI), combined with customer-facing architecture experience in an FDE-style role. Responsibilities Architect scalable, secure enterprise applications using the Agentic AI platform. Design and develop microservices, APIs, and integration layers using Python frameworks such as Django, Flask, or FastAPI. Provide technical leadership in security, identity management, authentication, and authorization. Work directly with customers as a Forward Deployed Engineer (FDE) to ensure successful deployment, integration, and adoption. Translate complex business requirements into AI-driven workflows, automation pipelines, and multi-agent orchestration. Collaborate closely with Product and Engineering teams to evolve multi-agent communications, platform services, and enterprise connectors. Deliver best practices, architecture patterns, and technical guidance to enterprise clients. Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

Wireless Communications System Architect About The Company We are a leading provider of high-performance, ultra-low power IP solutions across advanced CMOS nodes, enabling differentiated SoC architectures for 5G, optical networks, LiDAR, radar, automotive networking, AI acceleration, imaging, and related high-growth markets. We partner with market leaders globally and are scaling rapidly. We are seeking senior technical leadership talent to define and guide the next generation of adaptive, multi-antenna wireless platforms. Job Description We are seeking a Principal / Lead Wireless Communications System Architect to own the definition and architectural direction of complex wireless and multi-antenna system platforms. This individual will serve as the primary technical interface with customer system teams, lead system modeling and performance analysis, drive architectural decisions across mixed-signal and digital subsystems, and define system-level specifications that translate into silicon implementations. This is a senior leadership role with substantial influence across product definition, roadmap direction, and customer engagement. The ideal candidate has a deep understanding of communications theory, system decomposition across analog/digital boundaries, quantization/error propagation, MIMO signal processing architectures, and end-to-end error budgeting strategies in SDR-based environments. Key Responsibilities Technical Leadership and Direction: Define system architecture for next-generation multi-antenna and SDR-based communication platforms, influencing product strategy and long-term roadmap planning. Customer Technical Ownership: Lead technical engagement with strategic customers, representing system trade-offs, negotiating performance specifications, and aligning joint integration plans. End-to-End System Modeling: Architect and maintain MATLAB and analytical models capturing the full signal chain, including channel modeling, quantization noise allocation, SNR budgeting, interplay of RF non-linearities, and DSP algorithm design constraints. Block-Level Specification Ownership: Generate precise block-level specifications for digital baseband, calibration engines, channel processing, mixed-signal converters, and RF interfacing elements; ensure internal teams understand the architectural rationale behind these specifications. Cross-Domain Integration: Drive alignment between digital architecture, signal processing algorithms, mixed-signal circuit selections, ADC/DAC dynamic range decisions, LO/subsystem noise considerations, and thermal/power constraints. System Verification Alignment: Collaborate with validation and silicon bring-up teams to ensure post-silicon results trace back to modeled assumptions; define measurement-level KPIs and debug methodologies when deviations arise. Mentorship & Team Development: Provide architectural guidance to system engineers, signal processing developers, and hardware design teams; develop reusable models, internal best practices, and system-level methodologies. Thought Leadership: Participate in internal architecture reviews, contribute to core IP innovation strategy, and represent the company in technical engagements, standards-relevant discussions, and key customer milestones. Qualifications Graduate degree in Electrical Engineering, Communications Engineering, or related field; PhD strongly preferred. 12+years of experience in wireless communications system architecture for advanced SDR systems. Demonstrated ownership of end-to-end communication signal chains, including cascaded error budgeting, quantization trade-offs, and performance modeling across RF, ADC/DAC, and DSP blocks. Deep Expertise In MIMO and multi-user spatial processing architectures, Channel estimation, SNR/phase-noise budgets and their mapping into mixed-signal design requirements System-level modeling using MATLAB or Python, Ability to articulate complex system decisions to both internal engineering teams and senior-level customers. Proven leadership in defining specifications consumed by RTL design, mixed-signal design, verification, and system validation teams. Strong customer communication skills and comfort presenting architectural trade-offs to VP- and CTO-level stakeholders. Contact: Uday Mulya Technologies muday_***************** "Mining The Knowledge Community"

Title: Staff/Principal Architect(Only w2) JD: What You'll Do Foundational Architecture (40%) - Own platform architecture end-to-end, including tech stack selection, multi-tenant design, auth systems, data architecture, and service topology. AI/LLM Architecture (20%) - Lead the intelligence layer: LangGraph agent system, LLM integration strategy, and contextual intelligence design. Hands-On Development (25%) - Contribute high-impact code, drive engineering excellence, and accelerate execution velocity. Production Readiness (15%) - Ensure infrastructure, security, reliability, and DevOps readiness for a 3-6 month launch timeline. What We're Looking For: 12+ years of software engineering experience, including 5+ years in architect roles Proven success in architecting and launching greenfield multi-tenant SaaS platforms Product development experience with aggressive timelines Expertise across frontend, backend, data, and cloud infrastructure (AWS preferred) Strong experience with EKS/ECS, PostgreSQL, enterprise auth, and high-performance systems AI/LLM architecture experience: LangGraph/LangChain, agent-based systems, OpenAI/Anthropic integrations Strong technical leadership and communication skills Nice-to-Haves Financial services experience, startup/rapid growth background, security/compliance expertise, and cost optimization skills. If I missed your call ! Please drop me a mail. Thank you, Harish Talent Acquisition Astir IT Solutions, Inc - An E-Verified Company Email:******************* Direct : ***********788 50 Cragwood Rd. Suite # 219, South Plainfield, NJ 07080 ***************

About Us: Turbalance AI is an innovative, emerging startup that transforms AI laws. We are a team of passionate problem-solvers who believe in what we're building. We constantly push boundaries and embrace our inner nerds as we find new ways to tackle complex challenges. You will find a dynamic work environment here, with flat or even nonexistent hierarchies and the chance to take on responsibility from day one. About the Role: We're looking for a Solutions Architect, GTM to join our growing team! In this role, you'll be a key technical partner for our customers across the entire customer lifecycle-from pre-sales technical support through onboarding, implementation, and ongoing enablement. If you're a technically versatile problem-solver with a passion for helping customers succeed and want to build a great company, we want to hear from you. We're looking for candidates who can grow across both domains: Infrastructure & DevOps Focused: Strong in infrastructure design, DevOps, software development, and performance analysis. Experience integrating products into mission-critical infrastructure with fluency in SLAs, system design, and incident response. Systems & Network Processing Focused: Focused on network processing, data flows, device/system software design, and hardware integration. Background working with high-performance middleware or analytical software. What You'll Do: Customer Engagement & Enablement Guide customers through onboarding, ensuring they are fully prepared and proficient in using our solutions Conduct training sessions and develop enablement materials tailored to customer needs Proactively identify opportunities for customers to maximize platform value Act as a trusted technical advisor, offering best practices and solutions to common challenges Technical Implementation & Support Provide hands-on support for solution setup and configuration within customer environments Support API and system integrations with existing customer infrastructure Diagnose and resolve technical issues, collaborating with engineering teams on complex problems Troubleshoot connectivity, performance, and deployment challenges Pre-Sales Technical Support Support the sales team with domain expertise and technical credibility Demonstrate technical capabilities and solution fit during the sales process Design integration approaches and implementation plans for prospective customers Cross-Functional Collaboration Gather customer feedback and relay insights to product and engineering teams Reduce workload on core engineering teams by handling customer-facing technical work Provide responsive, dedicated customer engagement to build long-term relationships What You'll Bring: Strong background working with diverse technology stacks, with ability to quickly learn and adapt to new technologies Solid coding foundation with C++ and Python as must-haves; demonstrable understanding of robust software development principles Understanding of the interplay between software and hardware behavior and performance (GPUs, CPUs, networking) Proficiency with Kubernetes for deploying, scaling, and managing containerized applications Genuine desire to help customers achieve their goals, with excellent communication and interpersonal skills; prior experience in deep, durable customer-facing technical roles Ability to thrive in a fast-paced, multidisciplinary, dynamic environment while managing multiple priorities Bonus Points: Experience with additional programming languages (PyTorch, Rust, Go) Familiarity with cloud platforms (AWS, Azure, GCP) Experience with OpenStack and/or Slurm Knowledge of network operating systems and hardware (Arista, Cisco, Mellanox) and network engineering (especially switching) Familiarity with AI/HPC networking protocols (RoCE and/or InfiniBand) Demonstrable experience with performance characterization and profiling, especially for processors, memory systems, and networks Experience with kernel debugging Experience with LLM deployments, even at small scale Background in infrastructure design, SLAs, system design, and incident response Field Applications Engineering or similar hardware-focused customer engineering experience Why Join Us? Competitive pay & perks -because great work deserves great rewards. Work on your terms - flexible hours and remote-friendly culture. Fast lanes, no red tape - flat hierarchies and rapid decision-making Make it happen - your ideas aren't just heard - they become reality. Right place, right time -be part of our growth story and build a career-defining legacy. Globality design - work with a diverse, international team across Germany and the US. Work with the best - work alongside exceptional engineers and raise the bar together. Turba AI is an equal opportunity employer. We value and celebrate diversity while fostering an inclusive environment. We are committed to providing a workplace free from discrimination or harassment, regardless of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability.

We have an immediate opening for a Anaplan Solution Architect with a leading IT service/solutions provider in USA. Role: Anaplan Solution Architect Top Skills: 1. Solution Architect in Anaplan 2. Understand the Demand planning , Supply Planning , S&OP and FP&A business 3. Should be communicate well and convert business requirement into technical design and development. Role & Responsibilities: Job Description/ Responsibilities • Coordinating and Drive UAT cycle for business users and publish the UAT results. • Creating Functional and Technical/ SOP documents for end users on Anaplan developed models. • Migration of Anaplan models to production workspace and supporting and fixing end users issues. • Provide user training on Anaplan developed models and UX/UI. Skills: • Resource should understand the Agile way working for Anaplan. • Understand the user stories listed in sprint and convert them into Anaplan deliverable. • Resource should have good communication skill to talk to business users to remove any roadblocks during sprint development. • Resource should be capable to driving sessions for end users and show them developed functionalities in Anaplan and take feedback and implement same. • Resource should be able to coordinate with different team for integration need of Anaplan. • Resource should have good model design and development capabilities in Anaplan with understanding of DISCO and PLAN standards to avoid any performance challenges. • Resource should have knowledge on UX and UI capabilities of Anaplan to develop end users Anaplan APPs. • Resource should have a clear understanding of financial planning process and should be able to understand the business language and convert them to Anaplan deliverables • Should have a good understanding of Anaplan security (Selective access and DCA) • Should have good knowledge on model and workspace management. • Should be solution architect certified with FP&A planning, Demand and supply planning background. • Resource should have good debugging and problem-solving capabilities to trouble shoot productions issues • Resource should be delivery focused and should be capable to meeting agreed timelines.

We're looking for a hands-on Salesforce architect who specializes in CPQ and has strong familiarity with FSL & Revenue Cloud. This role is responsible for shaping technical direction, designing end-to-end solutions, and ensuring successful delivery of Salesforce programs that streamline sales, billing, and service operations. What You'll Do Define the overall architecture for Salesforce engagements, with a heavy emphasis on CPQ and Quote-to-Cash capabilities. Break down business challenges and design scalable, secure, and efficient Salesforce solutions. Act as the lead expert for CPQ-guiding workshops, validating requirements, and supporting delivery teams. Create data architectures, integration strategies, and automation frameworks for quoting, billing, and service workflows. Build technical prototypes and reusable solution components, and contribute to long-term technology roadmaps. Oversee integrations with enterprise systems through APIs, MuleSoft, or other middleware tools. Support sales cycles by contributing to estimates, design proposals, and client-facing technical discussions. Establish development standards, governance models, and DevOps processes using tools such as Copado or Gearset. Mentor team members and support internal enablement through documentation and knowledge sharing. Required Experience 8+ years working with Salesforce, including 5+ years designing and delivering CPQ solutions. Experience leading large, multi-cloud Salesforce programs, particularly involving CPQ and Revenue Cloud. Deep understanding of product configuration, pricing logic, approvals, and overall Quote-to-Cash processes. Strong grasp of Sales Cloud, Service Cloud, and Field Service architectural components. Hands-on experience with system integrations, custom development, and AppExchange applications. Background working within Agile teams and tools such as Jira. Excellent communication skills, with comfort presenting technical solutions to senior leaders. Preferred Experience Salesforce certifications including CPQ Specialist/Advanced, Sales Cloud, Service Cloud, Revenue Cloud, Field Service, Platform App Builder, or Architect-level credentials. Familiarity with tools such as DocuSign, Advanced Approvals, OmniStudio, or revenue recognition systems. Prior consulting experience supporting enterprise clients.

Job Title : - Principal ML Architect (Machine Learning) Type of Employment : - Fullltime What's in it for you :- As a Machine Learning / Deep Learning Architect you will: Lead the design of ML/DL architectures for multi-modal data (imaging, clinical, omics) in both exploratory and GxP-regulated environments. Integrate Gen AI and conversational analytics to create intelligent workflows and next-gen solutions. Develop proofs of concept and validate models for mission-critical healthcare applications. Key Responsibilities · Design ML/DL architecture for multi-modal data (imaging, clinical, omics) supporting algorithms development in exploratory and GxP regulated environments · Architect and Design Algorithims applications portability for internal and external deployments in regulated environment · Build scalable pipelines for training, inference, and model deployment · Handle model life cycle · Ensure compliance with 21 CFR Part 11, HIPAA, GxP and SaMD standards · Collaborate with cross-functional teams to align architecture with regulatory and operational requirements · Create proof of concept for important areas · Gen AI integration and LLM usage for intelligent workflows & conversational analytics · GxP and SaMD validate models Required Skills & Experience · 15 years of experience · Extensive experience with AWS ML / Deep Learning services(HPC with job schedulers) e.g., SageMaker, EC2 GPU instances, EKS etc. · Extensive experience with ML Ops · Extensive experience working in validated environments · Extensive experience with python-based ml / deep learning frameworks · Knowledge of imaging standards · Worked in radiology & digital pathology · Worked in ophthalmology / neurology / oncology disease areas Educational Qualifications: - Engineering Degree - BE/ME/BTech/MTech/BSc/MSc. Technical certification in multiple technologies is desirable. Recruiter Details : - Name : - Prashant Pal Email I'd : - *********************

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. Solutions Architect with Agentic AI & microservices experience Bay Area, CA (Onsite) Full Time Job Description We are seeking a highly skilled Solutions Engineer to architect and deploy next-generation enterprise automation solutions powered by an Agentic AI Platform. This role blends deep technical architecture expertise with a Forward Deployed Engineer (FDE) engagement model-working directly with customers to design, implement, and scale AI-driven workflows. You will build secure, high-performance enterprise solutions using Agent-to-Agent communication, Model Context Protocol (MCP), and modern microservice/API frameworks. The ideal candidate thrives in fast-moving, ambiguous environments and brings strong experience with Python frameworks (Django, Flask, FastAPI), microservices, APIs, and security. Must-Have Highlight (Key Requirement): ✔ Hands-on expertise building and deploying enterprise applications using Python frameworks (Django, Flask, or FastAPI), combined with customer-facing architecture experience in an FDE-style role. Responsibilities Architect scalable, secure enterprise applications using the Agentic AI platform. Design and develop microservices, APIs, and integration layers using Python frameworks such as Django, Flask, or FastAPI. Provide technical leadership in security, identity management, authentication, and authorization. Work directly with customers as a Forward Deployed Engineer (FDE) to ensure successful deployment, integration, and adoption. Translate complex business requirements into AI-driven workflows, automation pipelines, and multi-agent orchestration. Collaborate closely with Product and Engineering teams to evolve multi-agent communications, platform services, and enterprise connectors. Deliver best practices, architecture patterns, and technical guidance to enterprise clients. Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

About Us: Turbalance AI is an innovative, emerging startup that transforms AI laws. We are a team of passionate problem-solvers who believe in what we're building. We constantly push boundaries and embrace our inner nerds as we find new ways to tackle complex challenges. You will find a dynamic work environment here, with flat or even nonexistent hierarchies and the chance to take on responsibility from day one. About the Role: We're looking for a Solutions Architect, GTM to join our growing team! In this role, you'll be a key technical partner for our customers across the entire customer lifecycle-from pre-sales technical support through onboarding, implementation, and ongoing enablement. If you're a technically versatile problem-solver with a passion for helping customers succeed and want to build a great company, we want to hear from you. We're looking for candidates who can grow across both domains: Infrastructure & DevOps Focused: Strong in infrastructure design, DevOps, software development, and performance analysis. Experience integrating products into mission-critical infrastructure with fluency in SLAs, system design, and incident response. Systems & Network Processing Focused: Focused on network processing, data flows, device/system software design, and hardware integration. Background working with high-performance middleware or analytical software. What You'll Do: Customer Engagement & Enablement Guide customers through onboarding, ensuring they are fully prepared and proficient in using our solutions Conduct training sessions and develop enablement materials tailored to customer needs Proactively identify opportunities for customers to maximize platform value Act as a trusted technical advisor, offering best practices and solutions to common challenges Technical Implementation & Support Provide hands-on support for solution setup and configuration within customer environments Support API and system integrations with existing customer infrastructure Diagnose and resolve technical issues, collaborating with engineering teams on complex problems Troubleshoot connectivity, performance, and deployment challenges Pre-Sales Technical Support Support the sales team with domain expertise and technical credibility Demonstrate technical capabilities and solution fit during the sales process Design integration approaches and implementation plans for prospective customers Cross-Functional Collaboration Gather customer feedback and relay insights to product and engineering teams Reduce workload on core engineering teams by handling customer-facing technical work Provide responsive, dedicated customer engagement to build long-term relationships What You'll Bring: Strong background working with diverse technology stacks, with ability to quickly learn and adapt to new technologies Solid coding foundation with C++ and Python as must-haves; demonstrable understanding of robust software development principles Understanding of the interplay between software and hardware behavior and performance (GPUs, CPUs, networking) Proficiency with Kubernetes for deploying, scaling, and managing containerized applications Genuine desire to help customers achieve their goals, with excellent communication and interpersonal skills; prior experience in deep, durable customer-facing technical roles Ability to thrive in a fast-paced, multidisciplinary, dynamic environment while managing multiple priorities Bonus Points: Experience with additional programming languages (PyTorch, Rust, Go) Familiarity with cloud platforms (AWS, Azure, GCP) Experience with OpenStack and/or Slurm Knowledge of network operating systems and hardware (Arista, Cisco, Mellanox) and network engineering (especially switching) Familiarity with AI/HPC networking protocols (RoCE and/or InfiniBand) Demonstrable experience with performance characterization and profiling, especially for processors, memory systems, and networks Experience with kernel debugging Experience with LLM deployments, even at small scale Background in infrastructure design, SLAs, system design, and incident response Field Applications Engineering or similar hardware-focused customer engineering experience Why Join Us? Competitive pay & perks -because great work deserves great rewards. Work on your terms - flexible hours and remote-friendly culture. Fast lanes, no red tape - flat hierarchies and rapid decision-making Make it happen - your ideas aren't just heard - they become reality. Right place, right time -be part of our growth story and build a career-defining legacy. Globality design - work with a diverse, international team across Germany and the US. Work with the best - work alongside exceptional engineers and raise the bar together. Turba AI is an equal opportunity employer. We value and celebrate diversity while fostering an inclusive environment. We are committed to providing a workplace free from discrimination or harassment, regardless of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability.

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. Solutions Architect with Agentic AI & microservices experience Bay Area, CA (Onsite) Full Time Job Description We are seeking a highly skilled Solutions Engineer to architect and deploy next-generation enterprise automation solutions powered by an Agentic AI Platform. This role blends deep technical architecture expertise with a Forward Deployed Engineer (FDE) engagement model-working directly with customers to design, implement, and scale AI-driven workflows. You will build secure, high-performance enterprise solutions using Agent-to-Agent communication, Model Context Protocol (MCP), and modern microservice/API frameworks. The ideal candidate thrives in fast-moving, ambiguous environments and brings strong experience with Python frameworks (Django, Flask, FastAPI), microservices, APIs, and security. Must-Have Highlight (Key Requirement): ✔ Hands-on expertise building and deploying enterprise applications using Python frameworks (Django, Flask, or FastAPI), combined with customer-facing architecture experience in an FDE-style role. Responsibilities Architect scalable, secure enterprise applications using the Agentic AI platform. Design and develop microservices, APIs, and integration layers using Python frameworks such as Django, Flask, or FastAPI. Provide technical leadership in security, identity management, authentication, and authorization. Work directly with customers as a Forward Deployed Engineer (FDE) to ensure successful deployment, integration, and adoption. Translate complex business requirements into AI-driven workflows, automation pipelines, and multi-agent orchestration. Collaborate closely with Product and Engineering teams to evolve multi-agent communications, platform services, and enterprise connectors. Deliver best practices, architecture patterns, and technical guidance to enterprise clients. Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.