Lead GenAI Engineer (Senior Role) - 43870

Role

Lead GenAI Engineer (Senior Role)

Location

Bay Area, CA (2-3 days onsite/week)

Duration

6+ Months

Overview

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.

Must Haves

Python, TypeScript, Amazon Bedrock, AgentCore, Multi-Agent Orchestration, RAG

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