{"id":2793737,"url":"https://alion.io/job/regeneron-lead-ai-engineer","title":"Lead AI Engineer","company":{"id":4267,"name":"Regeneron Pharmaceuticals","domain":"regeneron.com","url":"https://alion.io/company/regeneron","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":15,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tarrytown, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":109900,"max":179300,"currency":"USD","period":"year","gross":null,"usd_annual":179300},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anthropic","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Strands Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Milvus","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"AWS Bedrock AgentCore","optional":true},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"Machine Learning","optional":true},{"name":"PostgreSQL","optional":true},{"name":"PyTorch","optional":true},{"name":"Redis","optional":true},{"name":"Swagger","optional":true},{"name":"TensorFlow","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-08-24T00:00:00Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-10-22T03:32:11Z","board_verified":true,"closed_at":null,"days_open":59,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":59},"description":"Job Title: Lead AI Engineer\nDepartment: Digital Transformation - AI Strategy & Execution\nLocation: Sleepy Hollow, New York\nEmployment Type: Full-Time\nExperience Required: 7-10 Years\nAbout Regeneron\nRegeneron 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.\nPosition Overview\nRegeneron 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.\nKey Responsibilities\nAI Engineering & Intelligent Systems\nLead end-to-end design, development, and deployment of enterprise AI applications and LLM-powered systems, ensuring production-grade quality, security, and scalability.\nDesign 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.\nDevelop and operate MCP (Model Context Protocol) servers for standardized, secure integration between AI agents and enterprise data sources.\nApply advanced LLM techniques - prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) - to build intelligent, context-aware applications.\nArchitect and manage vector database solutions (Milvus DB preferred) supporting semantic search, knowledge retrieval, and RAG pipelines.\nArchitect RESTful APIs that expose AI capabilities to internal platforms and downstream business applications.\nLLM & AI Platform Management\nAdminister and continuously evolve the enterprise LLM and AI Gateway platform, including model routing, access controls, rate limiting, usage observability, and multi-model orchestration.\nEvaluate and onboard new foundation models (OpenAI, Anthropic, AWS Bedrock, and others) in alignment with enterprise security and compliance standards.\nTechnical Leadership & Team Management\nLead, mentor, and manage a team of AI engineers, conducting code reviews, setting technical standards, and fostering a culture of engineering excellence.\nContribute to the organization’s AI roadmap through architectural design reviews, technical strategy, and proof-of-concept development.\nTroubleshoot complex issues across AI model serving, APIs, and platform layers.\nCross-Functional Collaboration & Stakeholder Engagement\nPartner with business units, data scientists, and clinical research teams to identify AI opportunities and translate them into scalable technical solutions.\nServe as the primary technical point of contact for enterprise AI platform discussions, presenting findings and recommendations to senior leadership.\nEngage with external vendors, cloud providers, and AI research organizations to evaluate and integrate emerging capabilities.\nRequirements & Qualifications\nEducation\nBachelor’s, Master’s, or Ph.D. in Computer Science, Computer Engineering, Artificial Intelligence or a related technical field.\nExperience\n7-10 years of progressive software and AI engineering experience, with at least 3 years in a technical lead or senior individual contributor role.\nExpert-level Python development skills, including production REST API development with FastAPI.\nProven hands-on experience building AI Agents, MCP Servers, and LLM-powered applications using frameworks such as LangChain, LangGraph, Strands, or CrewAI.\nHands-on experience with vector databases (Milvus DB preferred) for RAG and semantic search pipelines.\nExperience administering LLM API gateway platforms, including model routing, observability, access governance, and multi-model orchestration.\nExperience with foundation models from OpenAI, Anthropic, AWS Bedrock, and other major providers.\nWorking knowledge of AWS cloud services relevant to AI workloads (SageMaker, Bedrock, EKS, Lambda, S3); Kubernetes and CI/CD experience is a plus.\nExperience in the biotechnology, pharmaceutical, or healthcare industry preferred.\nTechnical Competencies\nProgramming: Python (expert-level).\nAI Frameworks & Runtimes: LangChain, LangGraph, Strands, CrewAI; AWS Bedrock AgentCore.\nLLM Techniques: Prompt engineering, fine-tuning, RAG, vector databases (Milvus DB preferred).\nAI Platform: LLM Gateway management, model routing, multi-model orchestration, TensorFlow, PyTorch.\nAPI Development: RESTful API design, FastAPI, OpenAPI/Swagger.\nCloud & Infrastructure (supporting): AWS (SageMaker, Bedrock, EKS, Lambda, S3), Kubernetes, Docker, Terraform, CI/CD pipelines.\nData & Analytics: Databricks, Dataiku, Postgres, Redis, NoSQL databases.\nObservability: Monitoring, logging, and distributed tracing for AI workloads.\nCertifications\nRequired:\nAWS Certified Machine Learning - Specialty\nNice to Have:\nAWS Certified Solutions Architect - Professional\nCertified Kubernetes Administrator (CKA)\nSoft Skills & Leadership\nExceptional communication skills with the ability to present AI concepts to both engineering teams and executive stakeholders.\nProven track record of leading engineering teams and managing delivery across cross-functional groups.\nStrong problem-solving mindset with a bias toward pragmatic, production-ready AI solutions.\nCollaborative and proactive in engaging with business units, compliance, and external partners.\nJoining 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, we invite you to apply.Please copy and paste the desired job description for this role here. If you need a copy of an existing job description please reach out to TA or work with your HR Business Partner to develop one for a new role.\nDoes this sound like you? Apply now to take your first step towards living the Regeneron Way! 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.\nWhere 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. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.\nPlease be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed on-site. Please speak with your recruiter and hiring manager for more information about on-site expectations for your role and location.\nAs 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.\nFor jobs in Canada: this posting is for an existing position.\nSalary Range (annually)\n$109,900.00 - $179,300.00","description_format":"text","description_chars":9324,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Annual bonuses","Equity","Wellness"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Biotechnology"],"lifecycle":[{"event":"open","at":"2026-10-17T21:37:56Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.442,"p_room":0.28,"age_days":59,"expected_fill_days":27,"reasons":["conf:2","stale_co","win:tail","crowd:brand"],"computed_at":"2026-10-22T06:10:10Z"},"pay":{"stated_usd_annual":179300,"is_top_pay":false},"html_url":"https://alion.io/job/regeneron-lead-ai-engineer","json_url":"https://alion.io/job/regeneron-lead-ai-engineer.json","meta":{"generated_at":"2026-10-22T06:57:21Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2205,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4267},"rest":"https://alion.io/mcp/rest/get_company?id=4267"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fregeneron-lead-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fregeneron-lead-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fregeneron-lead-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/regeneron-lead-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fregeneron-lead-ai-engineer"}]}