Architect jobs in Pleasanton, CA

HCLTech is looking for a highly talented and self- motivated Principal AI Architect to join it in advancing the technological world through innovation and creativity Title: AI Architect As an AI Architect, you will guide the strategy and delivery for interoperable, compliant, and economically viable modern AI solutions. You will architectures across a Hybrid AI landscape, blending Frontier Models (Azure OpenAI/Gemini) with Cost-Efficient Small Language Models (SLMs) and Edge Inference. You will craft solutions based on advanced AI technologies from OpenAI, NVIDIA, Google, , Microsoft and AWS. This role has a focus on enabling advanced Agentic AI solutions that transform core business functions and enable the future hybrid workforce. Working at the highest levels, you will engage AI, Technology and Business leaders in the world's most successful organizations. You will lead architectural design, establish best practices, for our most complex AI initiatives. This role requires a combination of deep hands-on technical expertise in advanced AI with strategic business acumen, serving as both a technical authority and a trusted advisor to clients Key Responsibilities What you'll do Multi-Agent Architecture Patterns: Define and govern reference architecture for multi-agent systems, covering hierarchical, peer-to-peer, and sequential (ReAct) orchestration models. Guide teams on pattern selection based on client use cases. Memory System Design: Architect the standards for integrated memory systems, including short-term session state, long-term knowledge via vector databases and knowledge graphs, and episodic/audit memory. Ensure coherent retrieval strategies across layers. Retrieval-Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Define architectural patterns for end-to-end RAG pipelines, including chunking, embedding, vector search (e.g., Azure Cognitive Search, pgvector), and reranking. Ensure designs include standards for lineage, observability, and evaluation (e.g., RAGAS). Cross-Cloud & Vendor Integration: Create and maintain decision frameworks for platform selection (e.g., Copilot Studio for Teams integration, Vertex AI for GCP workloads). Advise clients on balancing vendor lock-in risks with integration benefits. GenAIOps & Observability: Define the architectural standards for GenAIOps, including CI/CD, IaC, and observability. Establish standard metrics to track agent decision traces, latency, token consumption, hallucination, and cost. Safety, Security & Governance: Architect enterprise-wide guardrails for safety (hallucination mitigation), security (prompt injection defense, PII masking), and fairness (bias detection). Apply governance frameworks (NIST AI RMF, ISO 42001) and design human-in-the-loop (HITL) workflows. Enterprise Integration & Scalability: Architect scalable integration patterns for agentic systems with enterprise platforms (Microsoft Entra ID, Teams, Dynamics/Salesforce, ERPs) and compute (Kubernetes). Ensure patterns address security, data residency, and compliance. Technical Leadership & Client Advisory: Combine technical architecture with strategic guidance. Lead C-level workshops on Agentic AI adoption, advise on roadmaps, and shape technology strategy. Mentor other architects and contribute to industry thought leadership. Thought leadership and public speaking: Present at industry events and publish articles that advance the AI industry. Core Qualifications (The Bar) •Enterprise Experience: 8-10+ years in technical leadership, with a strong background in both software engineering and enterprise-scale cloud architecture. •Cloud Expertise: Architectural expertise with one primary cloud platform (Azure, GCP, or AWS) and hands-on familiarity with at least one other. •GenAI & LLM Depth: Demonstrated experience architecting and guiding solutions using GenAI platforms (e.g., Azure OpenAI, Vertex AI, or AWS Bedrock). •RAG & Orchestration: Proven experience designing complex RAG pipelines. •Model Fine-tuning: Experience with instruction tuning or fine-tuning strategies for LLMs. •Leadership & Advisory Skills: Exceptional communication skills with demonstrated experience advising senior stakeholders (Director/C-Level) on technical strategy, roadmaps, and governance Desired Skills & Experience Multi-Agent Systems: Deep understanding of, and experience designing or prototyping, advanced multi-agent systems (e.g., task decomposition, collaborative agents). Multi-Cloud Experience: hands-on architectural expertise across all three major clouds (Azure, AWS, GCP). GenAI Ops & Governance: Hands-on experience with GenAI Ops tooling. Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001) and their practical application. And AI FinOps & Model Routing Framework Expertise: Hands-on development experience with one or more orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel). Thought Leadership & Open Source: Published work (whitepapers, patents), conference speaking engagements, or active contributions to relevant open-source projects. Certifications: Professional-level cloud certifications (e.g., Azure Solutions Architect Expert, AWS Solutions Architect Professional, GCP Professional Cloud Architect). Compensation & Benefits HCLTech offers a highly competitive compensation package for this role, commensurate with experience. This includes a base salary, performance-based bonus, and comprehensive benefits. A specific salary band will be discussed with qualified candidates during the initial screening process. Scope by Level Senior Architect: Own end-to-end architecture for 1-3 programs/accounts. Lead technical architecture reviews and decision-making on agentic design patterns. Mentor senior engineers and emerging Architects. Drive thought leadership through internal documentation and architecture governance. Represent HCLTech in client C-level conversations for assigned accounts. Principal Architect: Portfolio-level ownership across multiple clients and programs. Define enterprise strategy for agentic AI adoption-roadmaps, best practices, architectural standards, and governance frameworks. Influence global partner strategies (Microsoft, Google, AWS) and contribute to HCLTech' s overall AI/Cloud roadmap. Represent HCLTech as a recognized industry leader through conference speaking, published research, and advisory board participation. Mentor other architects and shape hiring/capability building for the AI architecture practice. Soft Skills & Behavioural Competencies We are looking for professionals who combine deep technical expertise with strong interpersonal and leadership abilities. Specifically: Clear, Multi-Level Communication Strategic Thinking & Advisory Mindset Cross-Functional & Cross-Vendor Collaboration Pragmatic Problem-Solving Ownership & Accountability Continuous Learning & Adaptability Customer Obsession & Trust-Building Leadership & Mentorship Change Agent Mindset Pay and Benefits Pay Range Minimum: Base $ 200000 Per Year Pay Range Maximum: Base $ 220000 Per Year HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to ****************** for investigation. A candidate's pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year How You'll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Salesforce Technical Architect - Data Cloud Duration: 6-Month Contract Rate: Up to $120 an hour We are seeking a Salesforce Technical Architect with deep Data Cloud expertise to design, implement, and scale a modern Salesforce data architecture. This role will focus on data ingestion, identity resolution, integrations, and real-time activation across Sales, Service, and Marketing Cloud. Key Responsibilities Architect and lead Salesforce Data Cloud implementations, including data ingestion, harmonization, identity resolution, and segmentation Design and oversee complex integration architectures using Salesforce APIs, middleware platforms, and event-driven patterns Enable real-time data activation across Sales Cloud, Service Cloud, and Marketing Cloud Define Salesforce data models, governance frameworks, and performance optimization strategies Lead hands-on development efforts using Apex, LWC, SOQL/SOSL, and advanced automation Establish and enforce technical standards, CI/CD pipelines, and deployment governance Provide technical leadership and mentorship to Salesforce developers and engineers Partner with data, marketing, and operations teams to align data strategy with business outcomes Requirements 8+ years of Salesforce technical experience, including architect-level responsibilities Proven hands-on experience implementing Salesforce Data Cloud Strong expertise in Apex architecture, integrations, and performance tuning Experience with CI/CD tools, DevOps practices, and release management Strong understanding of data platforms, identity management, and analytics enablement Salesforce Technical Architect or advanced developer certifications preferred

Note-Only USC, GC, or GC-EAD candidates are eligible to apply. Experience Requirements: 10+ years of experience in software engineering, machine learning, data science, or artificial intelligence. Key Skill: LLMs (Large Language Models), including fine-tuning, LLMOps, function calling, and Retrieval-Augmented Generation (RAG), PyTorch, TensorFlow, Transformers/Hugging Face, and NumPy. Skill Requirements: Sound experience with Retrieval-Augmented Generation (RAG), fine-tuning, and multi-agent orchestration. Experienced in developing GenAI applications leveraging multi-agent frameworks and/or graph-based GenAI approaches (e.g., GraphRAG). Proficient in using common NLP and/or ML Python frameworks, such as PyTorch, TensorFlow, Transformers/Hugging Face, and NumPy. LLM skills including fine-tuning, LLMOps, function-calling, and retrieval augmented generation (RAG). Familiarity with data governance, AI ethics, and responsible AI practices. Strong proficiency in Python. Experience following software best practices in team settings, including version control (Git), CI/CD, documentation, & unit testing. Exposure to Microsoft Azure or similar cloud computing ecosystem. Ability to design scalable solutions and optimize performance for business impact. Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment. Familiarity with vector databases, RAG pipelines, and agentic frameworks. Excellent communication and documentation skills. Preferred Qualifications: Advanced GenAI Expertise: Experience developing applications using multi-agent frameworks and/or graph-based approaches such as GraphRAG and LangGraph. Cloud & MLOps Proficiency: Hands-on experience with Azure AI services, containerization (Docker/Kubernetes), and ML pipelines. Key Responsibilities: Design and develop GenAI-based applications using advanced techniques such as Retrieval-Augmented Generation (RAG), text-to-SQL, function calling, and agentic architectures. Implement multi-agent frameworks and explore graph-based GenAI approaches (e.g., GraphRAG) for complex problem-solving. Define and enforce evaluation standards and best practices for GenAI agents, RAG pipelines, and multi-agent orchestration. Performance evaluations to optimize ML and GenAI models for accuracy, scalability, and business impact. Engage with business stakeholders to understand requirements, gather feedback, and tailor solutions to meet strategic goals. Translate business needs into technical specifications and actionable plans. Ensure adherence to software engineering best practices, including version control (Git), CI/CD pipelines, documentation, and unit testing. Stay current with emerging GenAI evaluation tools, frameworks, and methodologies. Provide technical leadership and mentor team members on best practices and emerging GenAI technologies

We are seeking a Salesforce Architect with deep expertise in Sales Cloud and Service Cloud and strong hands-on development capability. This role will lead solution architecture and technical delivery across the Salesforce platform, partnering with business and engineering teams to design scalable solutions, guide implementation, and ensure best practices across security, performance, and maintainability. Key Responsibilities Own end-to-end Salesforce solution architecture for Sales Cloud and Service Cloud initiatives. Translate business requirements into scalable Salesforce designs, data models, and integration patterns. Lead hands-on development and provide technical leadership across build activities. Design and implement automation using Flows, and where appropriate Apex, ensuring performance and governance limits. Build and optimize solutions using Lightning (LWC/Aura), Apex, triggers, async processing (Queueable/Batch/Scheduled), and APIs. Define integration approach using REST/SOAP, Platform Events, and middleware patterns (MuleSoft/other iPaaS is a plus). Establish and enforce best practices: coding standards, CI/CD, branching strategy, review processes, and release management. Support environment strategy and deployment processes using tools such as Copado/Gearset/Jenkins/GitHub Actions (as applicable). Ensure platform quality through test strategy, code coverage, and automated testing; drive defect resolution and RCA. Provide technical mentorship to developers and collaborate with admins/analysts on configuration vs customization decisions. Participate in stakeholder discussions, architecture reviews, and roadmap planning. Must-Have Skills & Experience 8+ years in Salesforce ecosystem with 3+ years in an Architect/Lead role. Strong experience delivering solutions on Sales Cloud and Service Cloud (end-to-end implementations). Proven hands-on development experience with: Apex, Triggers, Asynchronous Apex (Batch/Queueable/Future) Lightning Web Components (LWC) (Aura acceptable as secondary) SOQL/SOSL, Platform security model, sharing, and governor limits Strong declarative expertise: Flows, validation rules, approval processes, assignment rules, Omni-Channel routing concepts (if Service-focused). Integration experience: REST/SOAP APIs, OAuth/auth patterns, and data migration approaches. Data modeling experience including large data volumes and performance optimization. Strong communication skills and ability to drive technical decisions with cross-functional teams. Nice-to-Have Experience with Field Service or advanced service capabilities (CTI, Omni-Channel, Knowledge, Entitlements, Case Management patterns). Experience with CPQ, Experience Cloud, or Marketing Cloud (if relevant). Experience with MuleSoft or other integration/middleware platforms. Salesforce certifications such as: Application Architect / System Architect Platform Developer I/II Sales Cloud Consultant / Service Cloud Consultant CTA (highly desirable, not required) Regards, Gaganpreet Singh Lead - Talent Acquisition **************

Job Title: Oracle HCM Cloud Architect (Techno-Functional) Employment Type: Full-time / Permanent The Oracle HCM Cloud Architect (Techno-Functional) will be responsible for end-to-end architecture, implementation, and ongoing support of Oracle HCM modules. This individual will collaborate with HR, IT, and Compliance teams to ensure the platform aligns with strategic business objectives, healthcare industry regulations, and California-specific labor laws. You will serve as the go-to expert across Core HR, Absence Management, Benefits, Talent Management, and Payroll (optional), while driving automation, integration, and best practices. Key Responsibilities: Strategic & Architectural Lead the overall design, configuration, and architecture of Oracle HCM Cloud across multiple modules. Serve as the techno-functional SME for Oracle HCM, ensuring system alignment with healthcare/dental industry needs. Partner with HR leadership to define and deliver scalable HR solutions that meet business requirements. Technical/Functional Implementation Configure Oracle HCM modules: Core HR, Absence, Benefits, Talent, Learning, and Payroll (if applicable). Translate business processes into system requirements and Oracle HCM configurations. Develop functional specifications for integrations with payroll systems, third-party vendors, and benefit providers. Support, Compliance & Optimization Ensure compliance with California labor regulations, ACA requirements, and healthcare-specific policies. Manage security roles, access controls, and workflow approvals. Troubleshoot system issues, lead enhancement projects, and support end-user training. Collaboration & Leadership Work cross-functionally with HR, IT, Payroll, and Compliance teams. Manage vendor relationships (Oracle support, third-party consultants). Lead or support Oracle HCM upgrades, patches, and quarterly releases. Required Skills & Qualifications 8+ years of experience with Oracle HCM; at least 2 full-cycle implementations Strong hands-on knowledge in Core HR, Absence, Benefits, Talent, and Payroll Familiarity with California labor laws, HIPAA, ACA, and healthcare compliance

Job Title: ServiceNow Technical Architect *Visa Independent Only CMDB: Experience in Service now CMDB/AMDB processes. Experience in CMDB/AMDB data Model and configuration. Experience in CMDB assessment and data cleanup activity. Experience in Service catalog development Knowledge of CMDB Normalization, Identification and Reconciliation jobs. Experience in Service now customization. Integration experience using SOAP/Restful API. At least 2 years of experience in CSDM led CMDB implementation using Service Now platform. Experience in designing, development, and implementation of automated processes for gathering, populating, and maintaining CMDB data Experience in building CMDB health Dashboard and custom reporting Good written and communication skills. ITIL Foundation Level Certification. Discovery: As a technical consultant focusing on ITOM development and configuration on ServiceNow platform this resource will deliver finalized ServiceNow Discovery Solutions utilizing the ServiceNow Discovery Module. Installation/Configuration and implementation of the discovery tool Strong troubleshooting skills, reading logs, solving complex workflow issues; Writing maintainable code as per best coding practices At least 3 years of experience in Implementing discovery solutions for multiple customers. Experience in Writing custom patterns for discovering custom/in-house applications Experience in Scripting and solutions to expand the ServiceNow Discovery module Knowledge of scripting language Experience in building custom integration using adapters, custom connectors Candidates with discovery and other ITOM certification will be preferred. Candidate should be comfortable in scripting and coding Discovery Probes and Sensors, CMDB, CMDB Types and Scripting. Candidate should be knowledgeable and familiar in the ServiceNow Discovery offerings. Candidate should lead a customer through knowledge and requirements discussions for implementing and deploying ServiceNow Discovery. Candidate should have experience in Coding, Test Scripts and Configuration for ServiceNow Discovery. He can configure ServiceNow MID Servers in customer environments Candidate should have experience in Developing Customized Probes and Sensors for Discovery. Candidate should have experience in Delivering technical workshops on Discovery, integration with full knowledge of CMDB/AMDB Lifecycle. Candidate should have Expert understanding on import sets and transform maps, working with external data Sources, ServiceNow data mapping. Candidate can Articulate the ServiceNow CMDB Classes for Asset and Configuration, their relationships and dependencies Service Mapping: As a technical consultant focusing on ITOM development and configuration on ServiceNow platform this resource will deliver finalized ServiceNow Service Mapping Solutions utilizing the ServiceNow Discovery Module. The ServiceNow Service Mapping technical consultant will play a key role during the planning stage of enhancing auto-discovered configuration data that makes up a Service. Additionally, the technical consultant will understand business service architecture and translate them into technical specifications for Service Map implementation. Work with process owners to understand the business service architecture and required information related to business/service map data and develop technical specifications and solutions Work with systems managers to ensure that the Discovery tool has the appropriate access and permissions to capture configuration information Provide visibility to the performance and issues related to Discovery Collaborate with Infrastructure Architects to understand IT technology strategy that guide which requirements need to be gathered Work with Application SMEs to create and validate Service Maps for key applications Maintain the integrity of the Service Mapping module across production and non-production environments Installation/Configuration and implementation of the discovery tool Strong troubleshooting skills, reading logs, solving complex workflow issues; Writing maintainable code as per best coding practices wherever required. At least 5 years of experience in Implementing Service Mapping solutions for multiple customers. Experience in Writing custom patterns for discovering custom/in-house applications Experience in Scripting and solutions to expand the ServiceNow Discovery module Knowledge of scripting language Candidates with Service Mapping, discovery and other ITOM certification will be preferred. Candidate should be comfortable in scripting and coding Discovery Patterns, CMDB, CMDB Types and Scripting. Candidate should be knowledgeable and familiar in the ServiceNow Discovery/Service Mapping offerings. Candidate should lead a customer through knowledge and requirements discussions for implementing and deploying ServiceNow Service Mapping. Candidate should have experience in Coding, Test Scripts and Configuration for ServiceNow Service Mapping along with ability to configure ServiceNow MID Servers in customer environments Candidate should have experience in Developing Customized Patterns for Discovery/Service Mapping. Candidate should have experience in Delivering technical workshops on Service Mapping, Discovery, integration with full knowledge of CMDB/AMDB Lifecycle. Candidate can clearly Articulate the ServiceNow CMDB Classes for Asset and Configuration, their relationships and dependencies

Hi, Hope you are doing well. I have an immediate requirement, please let me know if you are interested in this role. Role: Cloud Architect (AWS & Azure ) Mode: Contract JD: We are seeking a rare blend of deep technical expertise and executive-level communication: a battle-tested Senior Cloud Architect who is equally comfortable racking servers in a data center, writing production Terraform from scratch, and presenting multi-million-dollar cloud strategies to C-level executives and boards. You will own the end-to-end technical vision while personally building and delivering production cloud infrastructure on both Azure and AWS, lead complex migrations from on-prem environments, and serve as the trusted technical advisor to senior leadership. Key Responsibilities • Architect, hands-on build, and operationalize greenfield cloud environments on Azure and AWS (IaaS, PaaS, containers, serverless). • Lead large-scale on-premises to cloud migrations and hybrid/multi-cloud transformations. • Design and implement enterprise landing zones, governance, security, networking, and cost-optimization frameworks. • Translate complex technical solutions into clear, compelling presentations and recommendations for CXOs, and board members. • Regularly present architecture roadmaps, migration plans, risk assessments, TCO/ROI analysis, and progress updates to senior leadership and stakeholders. • Influence strategic decisions by articulating trade-offs, risks, and long-term implications of cloud and infrastructure choices. • Build trust as the go-to technical authority both “in the weeds” with engineers and “in the boardroom” with executives. • Mentor engineering teams while maintaining final accountability for solution quality and delivery. Required Experience & Skills • 8+ years in infrastructure engineering with strong on-premises data center roots (VMware, storage arrays, enterprise networking, physical deployments). • Expert-level hands-on experience in both Azure and AWS (minimum 5 years public cloud). • Proven ability to build production cloud environments from scratch - not just manage inherited ones. Thanks, Ravi Kumar Raas Infotek Newark, DE 19702 Direct No: ************ Email: **************************

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.

8-15 years of experience in implementing AI/ML models in enterprise systems In-depth understanding of AI/ML concepts, including supervised and unsupervised learning, deep learning, anomaly detection, and large language models(Gemini, GPT etc). Experience leading and working with Agentic AI Frameworks(Langchain, Langraph, CrewAI) Proficiency in Python and experience with relevant libraries and frameworks (Pandas, Numpy, Tensorflow etc.) At least 5 years of relevant experience in design, development, and deployment of conversational bots Experience working with Observability tools like Prometheus, Splunk, Datadog & Grafana. Experience in NLP (Natural Language Processing) & NLU (Natural Language Understanding), ML (Machine Learning), Conversational AI Integrate bot systems seamlessly with backend systems, databases, and APIs to facilitate smooth data exchange and interactions. Experience with web services integration Excellent troubleshooting and analytical skills in a complex, distributed environment. Excellent communication, presentation and collaboration skills. Self-starter with ability to work independently Experiment and Develop: Candidate will drive the end to end machine learning project lifecycle using best practices and well managed software delivery Lead the design and development of virtual assistants using Conversational AI platforms Leads efforts to foster innovative ideas for developing high impact solutions. Helps in design and develop advanced analytic solutions across functional areas as per requirement/opportunities. Participate in discussions with business stakeholders to identify business challenges that can be solved with AI/ML. Use LLM technologies for projects and provide technical assistance for others regarding LLM and GenAI usage. Support and advise teams on best practices regarding LLM usage and Mainly in the Area of AIOps - Clustering, classification, Anomaly detection, capacity prediction Understand the requirements and design the conversational flows. Develop Intent and Entities for chatbot TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Ma ternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commute r Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

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.

Looking for a workplace where people realize their full potential, are recognized for the impact they make, and enjoy the company of the peers they work with? Welcome to Zensar! Read on for more details on the role and about us. Zensar is offering an excellent opportunity for an "EUC Architect" to advance your career and achieve your goals. Their amazing benefits include a competitive salary, strong benefits package, and a friendly work environment. Role: EUCArchitect Location: Sunnyvale, CA (Onsite - Hybrid 3 Days Work from Office) Salary: $150K + Benefits. The EUC Architect will be responsible for designing, assessing, and enhancing the organization's endpoint security posture across laptops, desktops, mobile devices, servers, and VMs. This role ensures alignment of endpoint operations, policies, and enforcement mechanisms with industry standards (NIST), organizational security policies, and regulatory requirements. The ideal candidate has deep experience with EDR/XDR, AV, MDM/Intune, device compliance, endpoint hardening, and integration with SIEM/SOAR/AD environments. Key Responsibilities: Endpoint Security Architecture & Design Review and enhance endpoint architecture, including AV, EDR solutions. Evaluate endpoint configuration, control enforcement, coverage, and security baselines. Assess integration of endpoint platforms with SIEM, SOAR, Active Directory, Intune/MDM, and CMDB. Review architectural components, telemetry flow, and sensor deployment methodology. Validate data exchange between endpoint security tools and central monitoring systems. 2. Policy & Governance Ensure endpoint security operations align with organizational security policies. Review and update endpoint security policies aligned with NIST standards. Validate roles & responsibilities across IT, SecOps, and endpoint management teams. Evaluate policy coverage including patching, EDR/AV, device onboarding, and compliance. 3. Endpoint Operations & Integration Assess GPOs, MDM/Intune policies, device configuration profiles, and enforcement controls. Review endpoint discovery & profiling mechanisms to identify unmanaged/rogue devices. Validate tagging, categorization, and asset mapping across EDR platforms and CMDB. Check integration with NAC, SIEM, AD, vulnerability management, and patching tools. 4. Risk Management, Patching & Compliance Review patch management and vulnerability remediation processes across endpoints. Verify endpoint compliance monitoring, dashboards, and alerting workflows. Assess patching SLAs, automation processes, and compliance reporting. Skills & Qualifications Technical Skills Strong expertise in EDR/XDR platforms (e.g., CrowdStrike, Defender for Endpoint, Trellix, SentinelOne). Hands-on experience with Intune/MDM, SCCM, JAMF, or similar device management tools. Solid understanding of SIEM/SOAR platforms and AD integration. Strong knowledge of NIST CSF, NIST 800-53/171, CIS benchmarks, and endpoint hardening. Familiarity with NAC, vulnerability management, and patching tools (Tenable, Qualys, BigFix, etc.). Experience designing endpoint security architectures for large enterprises.

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. We're hiring Solutions Engineer/ Architect in Palo Alto , CA , It's Hybrid role . Position: Solutions Engineer/ Architect Location: Palo Alto, CA Duration: Full Time. Job Description: This is a high-impact Solutions Engineering, Architecture role in the Bay Area, focusing on Agentic AI and Enterprise Automation. You will architect scalable, secure enterprise solutions using the platform (featuring Agent-to-Agent communication and MCP) and act as a Forward Deployed Engineer (FDE). This involves working hands-on with customers to translate business needs into AI-driven workflows and ensuring successful platform adoption. Requires 5+ years in architecture, expertise in microservices/APIs, security, and proven success in customer-facing roles within ambiguous, fast-moving environments. Responsibilities Design and architect scalable, secure enterprise-grade applications using Agentic AI platform. Guide the development of microservices, APIs, and integration frameworks. Provide technical leadership on security, identity, and access management. Work hands-on with customers in a Forward Deployed Engineer (FDE)-style role to ensure adoption and success. Translate business requirements into AI-driven workflows and automation solutions. Collaborate with product and engineering teams to advance multi-agent systems and orchestration features. 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

Salesforce Technical Architect - Data Cloud Duration: 6-Month Contract Rate: Up to $120 an hour We are seeking a Salesforce Technical Architect with deep Data Cloud expertise to design, implement, and scale a modern Salesforce data architecture. This role will focus on data ingestion, identity resolution, integrations, and real-time activation across Sales, Service, and Marketing Cloud. Key Responsibilities Architect and lead Salesforce Data Cloud implementations, including data ingestion, harmonization, identity resolution, and segmentation Design and oversee complex integration architectures using Salesforce APIs, middleware platforms, and event-driven patterns Enable real-time data activation across Sales Cloud, Service Cloud, and Marketing Cloud Define Salesforce data models, governance frameworks, and performance optimization strategies Lead hands-on development efforts using Apex, LWC, SOQL/SOSL, and advanced automation Establish and enforce technical standards, CI/CD pipelines, and deployment governance Provide technical leadership and mentorship to Salesforce developers and engineers Partner with data, marketing, and operations teams to align data strategy with business outcomes Requirements 8+ years of Salesforce technical experience, including architect-level responsibilities Proven hands-on experience implementing Salesforce Data Cloud Strong expertise in Apex architecture, integrations, and performance tuning Experience with CI/CD tools, DevOps practices, and release management Strong understanding of data platforms, identity management, and analytics enablement Salesforce Technical Architect or advanced developer certifications preferred

HCLTech is looking for a highly talented and self-motivated Gen AI Architect to join it in advancing the technological world through innovation and creativity. Job Title: Gen AI Architect Position Type: Full-time Location: Pleasanton, CA(Remote) Role/Responsibilities Architect and design end-to-end generative AI solutions (text, image, audio, or multimodal) that align with business objectives. Evaluate and select appropriate foundation models (e.g., GPT, LLaMA, Stable Diffusion) and fine-tuning strategies. Lead the development of custom LLM applications, including prompt engineering, fine-tuning, RLHF, and model compression. Collaborate with cross-functional teams (engineering, product, design, data science) to integrate AI into products and platforms. Ensure responsible and ethical AI practices are embedded in system design (e.g., fairness, privacy, explainability). Guide the implementation of AI infrastructure (data pipelines, vector databases, model serving, APIs). Stay up to date on the latest AI research and tools and make recommendations for adoption. Conduct proofs-of-concept, prototypes, and performance benchmarking. Mentor junior engineers and contribute to best practices and internal knowledge sharing. Qualifications & Experience Bachelor's degree in computer science, Sciences or a related education (e.g. life science, medicine) , master's preferable. OR Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning. Minimum Requirements 10+ years of experience in AI/ML, with 3+ years in generative AI (LLMs, diffusion models, etc.). Proven experience designing and deploying large-scale AI systems. Deep understanding of transformer architectures, tokenization, and pretraining/fine-tuning paradigms. Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, etc. Strong knowledge of MLOps, cloud platforms (AWS, GCP, Azure), and scalable architecture (e.g., microservices, serverless). Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) systems. Familiarity with responsible AI frameworks and privacy-preserving techniques. Experience with open-source LLMs and model distillation/quantization techniques. Exposure to multimodal AI models (e.g., CLIP, DALL·E, Imagen). Contributions to AI/ML research (e.g., published papers, open-source projects). Experience building GenAI copilots, chatbots, or productivity tools. Strong problem-solving and analytical skills. Excellent communication and stakeholder management abilities. Ability to translate complex AI concepts into business value. Entrepreneurial mindset and passion for innovation. Pay and Benefits Pay Range Minimum: $ 79000 per year Pay Range Maximum: $ 161700 per year HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to ****************** for investigation. Compensation and Benefits A candidate's pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year. How You'll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Job Title: Oracle HCM Cloud Architect (Techno-Functional) Employment Type: Full-time / Permanent The Oracle HCM Cloud Architect (Techno-Functional) will be responsible for end-to-end architecture, implementation, and ongoing support of Oracle HCM modules. This individual will collaborate with HR, IT, and Compliance teams to ensure the platform aligns with strategic business objectives, healthcare industry regulations, and California-specific labor laws. You will serve as the go-to expert across Core HR, Absence Management, Benefits, Talent Management, and Payroll (optional), while driving automation, integration, and best practices. Key Responsibilities: Strategic & Architectural Lead the overall design, configuration, and architecture of Oracle HCM Cloud across multiple modules. Serve as the techno-functional SME for Oracle HCM, ensuring system alignment with healthcare/dental industry needs. Partner with HR leadership to define and deliver scalable HR solutions that meet business requirements. Technical/Functional Implementation Configure Oracle HCM modules: Core HR, Absence, Benefits, Talent, Learning, and Payroll (if applicable). Translate business processes into system requirements and Oracle HCM configurations. Develop functional specifications for integrations with payroll systems, third-party vendors, and benefit providers. Support, Compliance & Optimization Ensure compliance with California labor regulations, ACA requirements, and healthcare-specific policies. Manage security roles, access controls, and workflow approvals. Troubleshoot system issues, lead enhancement projects, and support end-user training. Collaboration & Leadership Work cross-functionally with HR, IT, Payroll, and Compliance teams. Manage vendor relationships (Oracle support, third-party consultants). Lead or support Oracle HCM upgrades, patches, and quarterly releases. Required Skills & Qualifications 8+ years of experience with Oracle HCM; at least 2 full-cycle implementations Strong hands-on knowledge in Core HR, Absence, Benefits, Talent, and Payroll Familiarity with California labor laws, HIPAA, ACA, and healthcare compliance

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.

Technical Skills Strong expertise in EDR/XDR platforms (e.g., CrowdStrike, Defender for Endpoint, Trellix, SentinelOne). Hands-on experience with Intune/MDM, SCCM, JAMF, or similar device management tools. Solid understanding of SIEM/SOAR platforms and AD integration. Strong knowledge of NIST CSF, NIST 800-53/171, CIS benchmarks, and endpoint hardening. Familiarity with NAC, vulnerability management, and patching tools (Tenable, Qualys, BigFix, etc.). Experience designing endpoint security architectures for large enterprises.

Salesforce Technical Architect - Data Cloud Duration: 6-Month Contract Rate: Up to $120 an hour We are seeking a Salesforce Technical Architect with deep Data Cloud expertise to design, implement, and scale a modern Salesforce data architecture. This role will focus on data ingestion, identity resolution, integrations, and real-time activation across Sales, Service, and Marketing Cloud. Key Responsibilities Architect and lead Salesforce Data Cloud implementations, including data ingestion, harmonization, identity resolution, and segmentation Design and oversee complex integration architectures using Salesforce APIs, middleware platforms, and event-driven patterns Enable real-time data activation across Sales Cloud, Service Cloud, and Marketing Cloud Define Salesforce data models, governance frameworks, and performance optimization strategies Lead hands-on development efforts using Apex, LWC, SOQL/SOSL, and advanced automation Establish and enforce technical standards, CI/CD pipelines, and deployment governance Provide technical leadership and mentorship to Salesforce developers and engineers Partner with data, marketing, and operations teams to align data strategy with business outcomes Requirements 8+ years of Salesforce technical experience, including architect-level responsibilities Proven hands-on experience implementing Salesforce Data Cloud Strong expertise in Apex architecture, integrations, and performance tuning Experience with CI/CD tools, DevOps practices, and release management Strong understanding of data platforms, identity management, and analytics enablement Salesforce Technical Architect or advanced developer certifications preferred

Job Title: Senior Cloud Architect (Multi-Cloud AWS + Azure) - Hands-On About the Role We are seeking a rare blend of deep technical expertise and executive-level communication: a battle-tested Senior Cloud Architect who is equally comfortable racking servers in a data center, writing production Terraform from scratch, and presenting multi-million-dollar cloud strategies to C-level executives and boards. You will own the end-to-end technical vision while personally building and delivering production cloud infrastructure on both Azure and AWS, lead complex migrations from on-prem environments, and serve as the trusted technical advisor to senior leadership. Key Responsibilities •Architect, hands-on build, and operationalize greenfield cloud environments on Azure and AWS (IaaS, PaaS, containers, serverless). •Lead large-scale on-premises to cloud migrations and hybrid/multi-cloud transformations. •Design and implement enterprise landing zones, governance, security, networking, and cost-optimization frameworks. •Translate complex technical solutions into clear, compelling presentations and recommendations for CXOs, and board members. •Regularly present architecture roadmaps, migration plans, risk assessments, TCO/ROI analysis, and progress updates to senior leadership and stakeholders. •Influence strategic decisions by articulating trade-offs, risks, and long-term implications of cloud and infrastructure choices. •Build trust as the go-to technical authority both “in the weeds” with engineers and “in the boardroom” with executives. •Mentor engineering teams while maintaining final accountability for solution quality and delivery. Required Experience & Skills • 8+ years in infrastructure engineering with strong on-premises data center roots (VMware, storage arrays, enterprise networking, physical deployments). •Expert-level hands-on experience in both Azure and AWS (minimum 5 years public cloud). •Proven ability to build production cloud environments from scratch - not just manage inherited ones. •Demonstrated experience presenting to and influencing C-suite executives and boards: • Confidently delivered technical strategy, migration plans, and financial justification decks • Translated highly technical concepts into business outcomes and risk language • Led architecture review boards and governance committees •Certifications: At least two professional-level (e.g., AZ-305, AWS Solutions Architect Professional, etc.) •Exceptional communication skills - verbal, written, and visual Disclaimer HCL is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to ****************** for investigation. Compensation and Benefits A candidate's pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.