Jobs / United States / Regeneron Pharmaceuticals INC
Director, GMP AI Engineering
Regeneron Pharmaceuticals INC · 🇺🇸 RENSS - GLOBAL VIEW
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 290 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 40 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Regeneron Pharmaceuticals INC paid sponsored hires in similar roles13 certified filings for “Associate Director Imaging” (Natural Sciences Managers) in NY: $201k–$281k, median $225k. Most were filed at wage level II (69%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Regeneron Pharmaceuticals INC
The US Department of Labor certified 290 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 40 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Regeneron Pharmaceuticals INC →
About the role
Build our future together: At Regeneron, we use science and innovation to develop life-changing medicines for people with serious diseases. We are seeking a Director, AI Engineering to lead the AI function for our Industrial Operations and Product Supply (IOPS) organization — spanning governance and compliant operation of AI in a regulated environment, delivery of IOPS-specific AI use cases, and the education and enablement programs that drive adoption across the business. In this role, you will translate AI capability into adopted, measurable value — partnering with Quality, enterprise AI, and senior leaders across IOPS — while leading and developing a high-performing multidisciplinary team. This position offers the opportunity to contribute to a fast-growing, science-driven organization making a meaningful difference to patients worldwide. When & where: • Location: Troy, New York • Work model/flexibility: 8am - 4:30pm Discover your role: • Own and execute the IOPS AI roadmap in alignment with business goals, including use-case intake, prioritization, and value measurement across a mature and growing project portfolio • Operate and evolve AI governance within a GMP environment — maintaining the IOPS AI policy and governance framework, computer system classification, validation procedures, qualified access, and data integrity — in close partnership with Quality and functional stakeholders • Sustain audit and inspection readiness for AI systems and governance processes; represent IOPS AI practices to internal and external assessors • Deliver IOPS-specific AI use cases end to end with an established multidisciplinary team, from business-need translation through deployment, adoption, and measured value • Lead AI education and enablement across IOPS — including fluency curricula for audiences from operators to executives, an embedded advocate network, and engagement channels that convert demand into adoption • Partner with Regeneron’s enterprise AI organization to adopt corporate platforms, tools, and standards, adapting them for GMP use rather than building parallel capability • Translate between technology and leadership, communicating AI strategy, risk, and value clearly to senior leaders across the organization • Lead, develop, and mentor an established high-performing team, fostering a culture of innovation and continuous learning This role requires: • BS/BA in Engineering, Science, or a related technical discipline • Associate Director: 10+ years of industry experience required • Director: 12+ years of industry experience required • Equivalent combination of education and experience considered; level determined based on qualifications • Proven experience leading applied AI programs across governance, delivery, and education or adoption in a regulated environment • Direct experience operating AI or computerized systems in a GMP/GxP environment, including computer system validation, system classification, data integrity, and inspection readiness; pharmaceutical manufacturing or similarly regulated environment strongly preferred • Track record of delivering AI and intelligent automation use cases with measurable business value in manufacturing or operations settings • Experience building education, fluency, or enablement programs and champion or advocate networks that scale adoption without proportional headcount growth • Working fluency with the modern AI landscape including language models, machine learning, and intelligent automation, with sufficient technical depth to lead engineers, evaluate solutions, and govern systems credibly • Familiarity with Responsible AI principles; experience with model risk, model credibility, or AI validation and assurance frameworks a plus • Demonstrated ability to lead thr