Lead GenAI Engineer – Senior.

Seeking a senior Lead GenAI Engineer to architect and build a stateful, headless GenAI application for personalized and grounded content creation. The role will design multi-agent workflows, integrate enterprise services, manage application and conversational state, and deliver structured JSON/HTML outputs for downstream content platforms.

This is a hands-on engineering role requiring architecture ownership, technical decision-making, and production coding.

Required Skills & Qualifications

• Significant hands-on experience architecting and building production GenAI applications.
• Strong Python or TypeScript development and microservices experience.
• Experience with stateful, multi-turn and multi-agent orchestration.
• Strong API-first architecture and structured contract design experience.
• Experience building headless services that generate structured outputs for downstream applications.
• Experience integrating GenAI applications with enterprise platforms, data services, and content repositories.
• Strong experience with RAG, grounding, application state, memory, evaluations, and production observability.
• Experience building streaming, multi-turn GenAI applications with clarification flows, conversation history, and error handling.
• Experience rendering structured outputs such as tables, charts, citations, and reusable results.
• Ability to define architecture, establish coding standards, make technical decisions, review engineering work, and write production code.
• Strong hands-on experience with AWS, Amazon Bedrock, and AgentCore.

Preferred Skills

• Content generation, content-as-code, personalization, or marketing technology experience.
• Experience with Workfront, Veeva Vault PromoMats, AEM Assets, or similar enterprise content platforms.
• Experience in commercial pharma or other regulated content environments.