Lead AI Engineer
Listed on 2026-10-14
-
Software Development
AI Engineer (Applied/Software), Software Architect
Job Title:
Lead AI Engineer Department:
Digital Transformation - AI Strategy & Execution
Location:
Sleepy Hollow, New York
Employment Type:
Full-Time Experience
Required:
7-10 Years
Regeneron is a leading biotechnology company headquartered in Tarrytown, New York, renowned for its innovative research and development of life-changing therapies. With a strong focus on ophthalmology, oncology, inflammation, cardiovascular diseases, and infectious diseases, Regeneron has brought groundbreaking medicines to market - including EYLEA and the REGEN-COV monoclonal antibody cocktail. Our commitment to scientific excellence, cutting-edge technology, and patient impact has positioned Regeneron as a global leader in biotechnology.
Position OverviewRegeneron is seeking an experienced Lead AI Engineer to serve as a technical leader within the AI Strategy & Execution organization. In this role, you will architect and deliver enterprise-scale AI capabilities - spanning intelligent agents, LLM-powered applications, and AI platform services - that accelerate drug discovery, clinical research, and enterprise productivity. You will lead a team of engineers, drive cross-functional collaboration, and communicate AI strategy to senior stakeholders, all while maintaining a strong hands-on presence in Python development and AI systems design.
Key Responsibilities AI Engineering & Intelligent Systems- Lead end-to-end design, development, and deployment of enterprise AI applications and LLM-powered systems, ensuring production-grade quality, security, and scalability.
- Design and build AI Agents and autonomous systems using agentic frameworks including Lang Chain, Lang Graph, Strands, and CrewAI, applying ReAct, tool-use, planning, and memory management patterns.
- Develop and operate MCP (Model Context Protocol) servers for standardized, secure integration between AI agents and enterprise data sources.
- Apply advanced LLM techniques - prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) - to build intelligent, context-aware applications.
- Architect and manage vector database solutions (Milvus DB preferred) supporting semantic search, knowledge retrieval, and RAG pipelines.
- Architect RESTful APIs that expose AI capabilities to internal platforms and downstream business applications.
- Administer and continuously evolve the enterprise LLM and AI Gateway platform, including model routing, access controls, rate limiting, usage observability, and multi-model orchestration.
- Evaluate and onboard new foundation models (OpenAI, Anthropic, AWS Bedrock, and others) in alignment with enterprise security and compliance standards.
- Lead, mentor, and manage a team of AI engineers, conducting code reviews, setting technical standards, and fostering a culture of engineering excellence.
- Contribute to the organization’s AI roadmap through architectural design reviews, technical strategy, and proof-of-concept development.
- Troubleshoot complex issues across AI model serving, APIs, and platform layers.
- Partner with business units, data scientists, and clinical research teams to identify AI opportunities and translate them into scalable technical solutions.
- Serve as the primary technical point of contact for enterprise AI platform discussions, presenting findings and recommendations to senior leadership.
- Engage with external vendors, cloud providers, and AI research organizations to evaluate and integrate emerging capabilities.
- Education Bachelor’s, Master’s, or Ph.D. in Computer Science, Computer Engineering, Artificial Intelligence or a related technical field.
- Experience 7-10…
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