Lead AI Engineer

Regeneron Pharmaceuticals, Inc (USA); Village of Tarrytown (NY); On-site; USD 110,000 - 179,000; Full time

Benefits offered by this job

Annual bonuses

Equity awards

Pension or retirement benefits

401(k) match

Health and wellness programs

Paid time off

Family support benefits

Job summary

Regeneron Pharmaceuticals, Inc. in Sleepy Hollow, NY is seeking a Lead AI Engineer to architect and deliver enterprise-scale AI capabilities across agents, LLM-powered apps, and platform services.

You will lead a team of engineers, drive cross-functional collaboration, and maintain hands-on Python development and AI systems design. The role involves building AI agents, MCP servers, and RAG pipelines, integrating with Milvus DB and RESTful APIs, and guiding security and compliance in a regulated

Qualifications

• Bachelor’s, Master’s or PhD in Computer Science, AI or related field.
• 7–10 years of software and AI engineering experience, with 3+ years in a technical lead role.
• Expert-level Python development, including REST API with FastAPI.

Responsibilities

• Lead end-to-end design, development, and deployment of enterprise AI apps.
• Build AI Agents and autonomous systems with LangChain/LangGraph/Strands/CrewAI.
• Develop MCP Servers for secure integration between AI agents and data sources.

Skills

Python

Leadership

Communication

AI systems design

Education

Bachelor’s/Master’s/PhD in CS/AI

Tools

LangChain

LangGraph

Strands

CrewAI

Milvus DB

FastAPI

Job description

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

About Regeneron

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 Overview

Regeneron 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 LangChain, LangGraph, 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.

LLM & AI Platform Management

• 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.

Technical Leadership & Team Management

• 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.

Cross-Functional Collaboration & Stakeholder Engagement

• 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.

Requirements & Qualifications

• Education Bachelor’s, Master’s, or Ph.D. in Computer Science, Computer Engineering, Artificial Intelligence or a related technical field.
• Experience 7-10 years of progressive software and AI engineering experience, with at least 3 years in a technical lead or senior individual contributor role.
• Python Expert-level Python development skills, including production REST API development with FastAPI.
• AI Agents Proven hands-on experience building AI Agents, MCP Servers, and LLM-powered applications using frameworks such as LangChain, LangGraph, Strands, or CrewAI.
• Vector Databases Hands-on experience with vector databases (Milvus DB preferred) for RAG and semantic search pipelines.
• LLM Gateway Administration Experience administering LLM API gateway platforms, including model routing, observability, access governance, and multi-model orchestration.
• Foundation Models Experience with foundation models from OpenAI, Anthropic, AWS Bedrock, and other major providers.
• Cloud Knowledge Working knowledge of AWS cloud services relevant to AI workloads (SageMaker, Bedrock, EKS, Lambda, S3); Kubernetes and CI/CD experience is a plus.
• Industry Preference Experience in the biotechnology, pharmaceutical, or healthcare industry preferred.
• Certifications AWS Certified Machine Learning - Specialty.
• Nice to Have: AWS Certified Solutions Architect – Professional; Certified Kubernetes Administrator (CKA).

Technical Competencies

• Programming: Python (expert-level).
• AI Frameworks & Runtimes: LangChain, LangGraph, Strands, CrewAI; AWS Bedrock AgentCore.
• LLM Techniques: Prompt engineering, fine-tuning, RAG, vector databases (Milvus DB preferred).
• AI Platform: LLM Gateway management, model routing, multi-model orchestration, TensorFlow, PyTorch.
• API Development: RESTful API design, FastAPI, OpenAPI/Swagger.
• Cloud & Infrastructure: AWS (SageMaker, Bedrock, EKS, Lambda, S3), Kubernetes, Docker, Terraform, CI/CD pipelines.
• Data & Analytics: Databricks, Dataiku, Postgres, Redis, NoSQL databases.
• Observability: Monitoring, logging, and distributed tracing for AI workloads.
• Certifications Required: AWS Certified Machine Learning – Specialty.
• Nice to Have: AWS Certified Solutions Architect – Professional; Certified Kubernetes Administrator (CKA).

Soft Skills & Leadership

• Exceptional communication skills with the ability to present AI concepts to both engineering teams and executive stakeholders.
• Proven track record of leading engineering teams and managing delivery across cross-functional groups.
• Strong problem-solving mindset with a bias toward pragmatic, production-ready AI solutions.
• Collaborative and proactive in engaging with business units, compliance, and external partners.

Joining Regeneron as a Lead AI Engineer

offers a unique opportunity to shape enterprise AI strategy, build transformative platforms, and make a meaningful impact on the advancement of global healthcare. If you are a driven technical leader with deep expertise in AI systems and a passion for innovation in a regulated environment.

Salary Range (annually)

$109,900.00 - $179,300.00

Benefits

• annual bonuses or other incentive plans (depending on country and role)
• equity awards (depending on country and role)
• pension or retirement benefits (depending on country and role)
• 401(k) company match (depending on country and role)
• health and wellness programs (depending on country and role)
• fitness centers (depending on country and role)
• insurance benefits (e.g. medical, dental, vision, life and disability) (depending on country and role)
• paid time off (depending on country and role)
• family support benefits (depending on country and role)

Equal Opportunity & Inclusive Culture

We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship. Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience.

Company Culture & Recognition

Regeneron is also proud of award-winning culture of innovation, being recognized as a Great Place to Work in 2021, Fast Company’s Best Workplace for Innovators in 2020, and Forbes JUST companies in 2020, among others.

Background Checks

As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.