Mandatory Certifications (any one or more of the below): AWS Certified Solutions Architect – Associate: Exam Code/Number:SAA-C03 (as of 2024; previously SAA-C02 and SAA-C01) AWS Certified Solutions Architect – Professional: Exam Code/Number:SAP-C02 (as of 2024; previously SAP-C01) Microsoft Certified: Azure AI Engineer Associate: Exam Code:AI-102 (Designing and Implementing an Azure AI Solution) Location: Hybrid from San Jose, CA (3 days per week) Please don't apply if you don't meet at least one of the above mentioned certifications criteria. Overview: We are seeking a visionary and hands-onEnterprise AI, Data & Agentic Platform Architectto lead the design, implementation, and governance of enterprise-grade AI solutions for our strategic client. This role is pivotal in ensuring that AI initiatives, spanning GenAI, agentic systems, AI infused data engineering, modern data platforms, and cloud infrastructure, are secure, scalable, cost-optimized, and aligned with business outcomes. Key Responsibilities: Agentic AI, Autonomous Workflow Design and Data Pipelines Architect and deployagentic AI systemsusingCrewAI,LangChain, andLangGraphto automate complex enterprise workflows. Design multi-agent orchestration strategies with memory, tool usage, and inter-agent communication using fast evolving industry standards like MCP and A2A. Implementguardrails,safety layers, andfallback mechanismsto ensure reliability and trust in autonomous agents with focus on human in the loop. RAG & LLM Integration BuildRetrieval-Augmented Generation (RAG)pipelines using vector databases (e.g., FAISS, Pinecone, Weaviate) and semantic search. Optimize LLM performance through prompt tuning, context compression, and hybrid retrieval strategies. Ensure modularity and extensibility of RAG components for reuse across business domains. Design scalable data platforms supporting structured, semi-structured, and unstructured data for AI workloads. Preferred knowledge of Integrate AI capabilities withclient’s enterprise stack(Spotfire, EBX, Data Virtualization). Lead implementation ofMLOps,LLMOps, andAI observabilityframeworks for model lifecycle management. FinOps & Cost Optimization ImplementFinOps practicesto monitor and optimize cloud and AI infrastructure costs. Establish cost governance models, usage-based budgeting, and forecasting for GenAI workloads. Use tools likeCloudHealth,Kubecost, or custom dashboards to drive cost transparency and accountability. Security, Governance & Compliance Define and enforceAI governance frameworksincluding model risk management, bias mitigation, and ethical AI. Ensure compliance with global data privacy regulations, AI ACTs and internal security policies. Conduct architecture reviews, threat modeling, and secure deployment strategies for AI agents and data pipelines. Strategic Leadership & Enablement Act as a trusted advisor to business and technology stakeholders, translating AI capabilities into business value. Mentor cross-functional teams on agentic design patterns, data engineering, and platform scalability. Develop reusable reference architectures, accelerators, and playbooks to scale AI adoption across the enterprise. Required Qualifications: 10+ years in enterprise architecture with 5+ years in AI/ML, data platforms, and cloud-native environments. 1+ years in Agentic AI, GenAI solutions. 15+ years of overall IT experience in building and architecting enterprise grade solutions. Proven experience withGenAI,LLMs,agentic frameworks(CrewAI, LangChain, LangGraph), andRAG architectures. Strong understanding ofFinOps, cloud cost modeling, and optimization strategies. Deep expertise inMLOps,LLMOps, containerization (Docker, Kubernetes), and CI/CD pipelines. Excellent communication, stakeholder engagement, and leadership skills. Preferred Skills: Specialist/Expert Level certification with leading cloud platforms or equivalent experience. Experience withAI observability tools(Arize, TruEra, WhyLabs). Familiarity withAI safety frameworks,agentic alignment, andautonomous system reliability. Knowledge ofmulti-cloud architectures,hybrid deployments, andedge AI. Consulting experience in large-scale enterprise environments with cross-functional delivery teams. Engagement Model: Strategic consulting engagement with potential for long-term partnership. Opportunity to shape AI strategy and governance for a global enterprise client. High-impact role with visibility across business, technology, and innovation leadership. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Dash Neuron by 2x Sign in to set job alerts for “Generative AI Engineer” roles. Menlo Park, CA $180,000.00-$200,000.00 1 month ago Sunnyvale, CA $135,000.00-$210,000.00 4 months ago San Jose, CA $160,000.00-$170,000.00 4 days ago Redwood City, CA $172,000.00-$240,000.00 3 hours ago Mountain View, CA $150,000.00-$180,000.00 3 weeks ago Research Engineer, Language - Generative AI Menlo Park, CA $70.67-$208,000.00 2 weeks ago Palo Alto, CA $100,000.00-$200,000.00 3 weeks ago Research Engineer, Language - Generative AI Menlo Park, CA $85.10-$251,000.00 2 weeks ago Palo Alto, CA $100,000.00-$200,000.00 4 weeks ago Software Engineer III, Machine Learning (Generative AI), YouTube Mountain View, CA $141,000.00-$202,000.00 2 weeks ago AI Research Engineer, Generative Modeling, Self-Driving Redwood City, CA $120,000.00-$158,000.00 2 weeks ago Software Engineer, Language - Generative AI Menlo Park, CA $56.25-$173,000.00 2 weeks ago Redwood City, CA $175,000.00-$250,000.00 2 weeks ago Founding Senior Software Engineer and AI Engineer Software Engineer III, Generative AI, Google Workspace Sunnyvale, CA $141,000.00-$202,000.00 1 week ago Santa Clara, CA $148,000.00-$287,500.00 1 day ago Software Engineer Graduate (AIGC Platform - Monetization GenAI) - 2025 Start (MS) San Jose, CA $112,000.00-$250,000.00 2 weeks ago Research Engineer - Conversational AI - Reality Labs Research Engineer - Conversational AI - Reality Labs Menlo Park, CA $85.10-$251,000.00 2 weeks ago Staff Software Engineer, Generative AI, Google Cloud AI Sunnyvale, CA $197,000.00-$291,000.00 1 day ago San Francisco Bay Area $150,000.00-$300,000.00 11 hours ago Senior Software Engineer, Generative AI, Google Cloud AI Sunnyvale, CA $166,000.00-$244,000.00 18 hours ago Senior Software Engineer, Generative AI, Core Sunnyvale, CA $166,000.00-$244,000.00 4 days ago We’re unlocking community knowledge in a new way. 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