Lead GenAI Engineer
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Job Description
Lead GenAI Engineer architecting stateful, multi-agent applications for personalized content creation. Building AWS and Bedrock services that deliver grounded JSON/HTML outputs for pharma platforms.
Responsibilities:
- Architect and build a stateful, headless GenAI application for personalized and grounded content creation
- Design multi-agent workflows
- Integrate enterprise services, data services, content repositories, and platforms
- Manage application and conversational state
- Deliver structured JSON/HTML outputs for downstream content platforms
- Own architecture and make technical decisions
- Establish coding standards and review engineering work
- Write production code
- Build streaming, multi-turn GenAI applications with clarification flows, conversation history, and error handling
- Render structured outputs including tables, charts, citations, and reusable results
Requirements:
- 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
- W2 work authorization/status required
- Preferred: Content generation, content-as-code, personalization, or marketing technology experience
- Preferred: Experience with Workfront, Veeva Vault PromoMats, AEM Assets, or similar enterprise content platforms
- Preferred: Experience in commercial pharma or other regulated content environments
Benefits:
- Medical
- Paid Sick Leave
- 401 (k)
- Possibility Of Extension
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