Jobs / United States / Pfizer INC
Director, Build Engineer
Pfizer INC · 🇺🇸 4 Locations
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 40 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 9 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 Pfizer INC paid sponsored hires in similar roles2 certified filings for “SENIOR VALIDATION ENGINEER” (Industrial Engineers) in WA: $96k–$117k, median $107k. Most were filed at wage level I (50%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Last confirmed live 2 days agoWhen 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 — Pfizer INC
The US Department of Labor certified 40 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 9 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 Pfizer INC →
About the role
ROLE SUMMARY This role owns hands-on software engineering delivery for the Medical Affairs AI Acceleration portfolio. This role turns solution architecture and product requirements into working, production-grade AI systems. This is a deeply technical, individual-contributor role. This position is accountable for designing components and writing, testing and shipping code to production. Decisions made in this role — how a feature is implemented, how AI-generated code is verified before it reaches production, how quickly a validated prototype is hardened into a scalable system — directly determine the reliability and velocity of the AI systems Medical Affairs depends on. This role carries individual technical authority over its assigned build area, reporting into the Senior Director, Engineering alongside two peer Build Engineers and the Data Integration Engineer. The role partners closely with Solution Architecture to implement architectural blueprints, with the Data Integration Engineer to incorporate data from various sources into the AI solutions, and with Product Management and UX/Experience Design to translate product and workflow requirements into working software solutions. Solutions will be deployed through the full life cycle including proofs of concepts, MVPs and production grade systems. The Director, Build Engineer is a hands-on software engineer who builds, tests, and ships the AI-powered products and platforms that make up the Medical Affairs AI Acceleration portfolio. Reporting to the Senior Director, Engineering, this role takes solution architecture and product requirements from prototype through production — writing full-stack code, integrating Agentic AI and LLM-based capabilities, and verifying AI-generated code with the same rigor applied to human-written code. This is an individual-contributor role built for engineers who move fluidly across the stack, work comfortably in ambiguity, and take personal ownership of whether what they ship actually works in production. ROLE RESPONSIBILITIES Full-Stack & AI System Build • Build, test, and ship production-grade software across the stack, working in whatever language or framework the problem requires. • Integrate Agentic AI, LLM-based capabilities, and RAG pipelines into Medical Affairs products, translating architectural design into deployed, functioning services. • Take validated prototypes and MVPs through to production-grade systems, applying the quality gates and standards set by Solution Architecture and the Senior Director, Engineering. • Write and maintain code that meets the team's engineering standards for quality, maintainability, and reuse. • Document code, APIs, and system design decisions clearly and consistently as a standard part of the development process ensuring solutions are maintainable and understandable by others beyond the original author. AI-Augmented Development & Verification • Use AI-augmented development tools to accelerate delivery, while applying rigorous verification and review to all AI-generated code before it ships. • Apply LLM integration patterns (e.g., prompt design, multi-provider/model considerations, RAG) to build features that depend on generative AI capabilities. • Monitor and troubleshoot AI/ML components in production, partnering with Solution Architecture on model performance, drift, and reliability issues. • Design and optimize LLM and agent interactions for token efficiency — balancing prompt design, context window usage, and model selection to control cost and latency without sacrificing output quality. Data & Systems Integration • Partner with the Data Integration Engineer to ensure builds are backed by reliable, well-governed data pipelines. • Integrate with core enterprise systems (e.g., Veeva