Senior Lead Generative AI Engineer - Contract

The application will coordinate multiple agents and enterprise services, maintain conversational and project state, and generate structured JSON or HTML content blueprints that downstream platforms can assemble into finished assets. Ability to propose architecture, establish coding patterns, make technical decisions and review other engineers work, and produce production code.

Lead GenAI Engineer (Senior Role)
South San Francisco, CA
06 Months

Focus: Agentic Content-Application Architecture and Orchestration

The goal is to design and build a stateful, headless GenAI application that helps commercial marketers create grounded and personalized content. The application will coordinate multiple agents and enterprise services, maintain conversational and project state, and generate structured JSON or HTML content blueprints that downstream platforms can assemble into finished assets. This is a hands-on senior contractor who must propose the architecture, make key technical decisions and code critical components not a coordination-only lead.

Minimum capabilities
Significant hands-on experience architecting and building production GenAI applications
Strong Python or TypeScript software engineering and microservices experience
Experience designing stateful, multi-turn and multi-agent orchestration
Strong API-first architecture and structured-contract design experience
Experience building headless services that produce structured outputs for downstream applications
Experience integrating GenAI applications with enterprise platforms, data services and content repositories
Experience with RAG, grounding, application state, memory, evaluations and production observability
Experience building streaming, multi-turn GenAI interfaces with clarification flows, conversation history and error handling
Experience rendering structured responses, including tables, charts, citations and reusable results
Ability to propose architecture, establish coding patterns, make technical decisions and review other engineers work, and produce production code
Strong AWS, Amazon Bedrock and AgentCore experience

Preferred
Experience with content generation, content-as-code, personalization or marketing-technology platforms
Experience with Workfront, Veeva Vault PromoMats, AEM Assets or comparable enterprise content systems
Experience in commercial pharma or another regulated content environment
Location
Bay Area preferred, with ability to work from the office 12 days per week
Otherwise, must provide 46 hours of daily working overlap with Pacific Time

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