Lead the architecture and delivery of enterprise generative AI solutions across document processing, language, vision, and agentic systems. Design Azure-based pipelines, RAG workflows, multi-agent solutions, integrations, and human-in-the-loop processes. Partner with stakeholders, lead engineering teams, and establish MLOps, governance, security, cost optimization, and responsible AI practices.
As an AI Architect you will own the end-to-end architecture, design and lead delivery of enterprise-grade AI solutions across generative AI domains such as document processing, language, vision, and agentic (LLM-based) systems on cloud platforms preferably Azure. You will partner with customer stakeholders to translate business goals into robust, secure, and cost effective architectures , lead engineering teams and establish MLOps, governance and responsible-AI practices. The role requires deep hands-on experience with Azure AI services (and complementary cloud technologies), practical knowledge of document processing use-cases, and expertise building RAG, LLM verification, and multi-agent solutions. Core responsibilities: 1. Solution Architecture & Design • Design end-to-end pipelines: ingestion, pre-processing, OCR/layout analysis, extraction, normalization, reconciliation, validation, and human-in-the-loop. • Translate business problems (document extraction, contract analytics, claims processing, knowledge bases, chat assistants) into measurable ML objectives and architecture blueprints. • Facilitate stakeholder workshops (Jira/Confluence/Miro) to capture success criteria, SLAs and compliance requirements. • Architect hybrid solutions combining Azure Cognitive APIs, custom ML models, Azure OpenAI/LLMs and RAG to balance accuracy, latency and cost. • Define API/integration patterns (REST), event-driven messaging and connectors to Kafka systems. 2. Agentic & Generative AI Design • Design RAG workflows with embeddings and vector search for source-cited responses and hallucination mitigation. • Design and advise on agentic AI frameworks (multi-agent roles, tool-invocation patterns, context/state management) for autonomous or semi-autonomous assistants. • Specify MCP/server orchestration approaches (stateful context, plugin/tool integrations, secure communications).
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What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
