Generative AI Engineer

Job Title – Lead GenAI Engineer

Location: South San Francisco, CA – Hybrid/Remote - Bay Area preferred, with ability to work from the office 1–2 days per week - Otherwise, must provide 4–6 hours of daily working overlap with Pacific Time

Duration: 6 Months with the possibility of extension

Role Overview

Roche is seeking a Senior Lead GenAI Engineer to architect and build production-ready generative AI applications for personalized commercial marketing content. The role focuses on multi-agent orchestration, stateful GenAI applications, API-first architecture, and structured content generation. This is a hands-on technical leadership position requiring architecture decisions, coding, and production implementation.

Key Responsibilities

• Design and build production-grade GenAI applications using Python or TypeScript.
• Develop stateful, multi-turn, multi-agent orchestration with conversation history, memory, and clarification flows.
• Build API-first, headless services that generate structured JSON or HTML for downstream platforms.
• Integrate GenAI applications with enterprise APIs, data services, and content repositories.
• Implement RAG, grounding, evaluations, streaming, and production observability.
• Develop reusable content outputs with tables, charts, citations, and structured responses.
• Establish architecture, coding standards, and technical patterns; review code and deliver critical components.
• Leverage AWS, Amazon Bedrock, and AgentCore for GenAI application development.

Top Requirements

• Strong hands-on experience building and architecting production GenAI applications.
• Advanced Python or TypeScript development and microservices experience.
• Expertise in multi-agent systems, orchestration, application state, and memory.
• Strong API design, structured contracts, and headless service architecture.
• Experience with RAG, grounding, evaluation frameworks, and observability.
• Experience with streaming GenAI interfaces and multi-turn conversational workflows.
• Strong AWS, Amazon Bedrock, and AgentCore experience.
• Ability to lead technical architecture while remaining hands-on with production code.

Best Candidate Background

• Senior GenAI/AI Application Engineer or Staff-level Software Engineer with proven production deployment experience.
• Strong background in agentic AI, LLM orchestration, RAG, Python/TypeScript, and AWS Bedrock.
• Experience integrating AI solutions with enterprise platforms and generating structured content.
• Preferred exposure to Workfront, Veeva Vault PromoMats, AEM Assets, marketing technology, or regulated pharmaceutical content.
• Bay Area candidates able to work onsite 1–2 days per week are preferred. Remote candidates must provide 4–6 hours of daily overlap with Pacific Time.