Director, Build Engineer

Pfizer

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York City, NYCollegeville, PA
Salary
$176,600–$294,300 / yr
Posted
5 days ago
Freshness
Confirmed live yesterday
Closes
Oct 2, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $245k
This role $235k
$162k most similar roles pay here $308k

This role pays less than 59% of similar roles. Most pay $212,882–$277,287 — the shaded band above. At the midpoint, this role pays about $235k versus about $245k for comparable roles.

Based on 240 similar postings.

Employer

About Pfizer

Pfizer Inc. is one of the world''s largest biopharmaceutical companies, researching, developing, manufacturing, and marketing medicines and vaccines across multiple therapeutic areas including oncology, cardiology, and infectious diseases. Industry: Biopharmaceuticals

Pfizer currently has 34 open roles on FindRole.

Listed pay typically runs $124,400–$207,400 across 34 roles with salary data.

Most-posted roles

View all roles at Pfizer

At a glance

TL;DR · Director, Build Engineer

The Director, Build Engineer is an individual-contributor role within the Medical Affairs AI Acceleration portfolio. This position focuses on transforming solution architecture and product requirements into production-grade systems by building, testing, and shipping full-stack code. The engineer will integrate Agentic AI, LLM-based capabilities, and RAG pipelines while ensuring all AI-generated code undergoes rigorous verification. Key responsibilities include managing the lifecycle from prototype to production, optimizing LLM interactions for token efficiency, and resolving technical debt. The role requires proficiency in various programming languages, frameworks, cloud architecture (AWS or Azure), API-first design, and CI/CD practices. Additionally, the engineer will collaborate with cross-functional teams to integrate data from sources like Veeva CRM and Salesforce Life Sciences into AI solutions, ensuring high reliability for systems supporting Medical Affairs operations within a regulated environment.

What you'll do

  • Build, test, and ship production-grade full-stack software using various languages and frameworks.
  • Integrate Agentic AI, LLM-based capabilities, and RAG pipelines into Medical Affairs products.
  • Transition validated prototypes and MVPs into scalable, production-ready systems following established quality gates.
  • Verify all AI-generated code with the same rigor as human-written code before deployment.
  • Optimize LLM and agent interactions for token efficiency, balancing cost, latency, and output quality.
  • Monitor and troubleshoot AI/ML components in production to address performance, drift, and reliability issues.
  • Integrate core enterprise systems like Veeva CRM and Salesforce into the AI solution architecture.
  • Document code, APIs, and system design decisions to ensure maintainability for other team members.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 8+ years of hands-on software engineering experience.
  • Experience building and shipping production-grade software across the full stack using multiple languages and frameworks.
  • Experience integrating AI/ML or LLM-based capabilities into production systems.
  • Experience taking prototypes and MVPs through to production-grade, scalable systems.
  • Experience with modern cloud architecture (AWS or Azure), API-first design, and CI/CD practices.
  • Experience with Agile/Scrum delivery frameworks.
  • Experience designing and optimizing LLM/agent prompts for token efficiency, cost, and latency at scale.
  • Strong technical writing skills to produce documentation for code, APIs, and system designs.
  • Experience in pharmaceutical or regulated industries with GxP, HIPAA, and GDPR knowledge (preferred).
  • Hands-on experience with LLMOps/MLOps tools, vector databases, RAG pipelines, or agent orchestration (preferred).
  • Familiarity with Veeva CRM or Salesforce Life Sciences Cloud integration patterns (preferred).
  • Relevant certifications such as AWS or Azure Solutions Architect or Developer (preferred).
  • Must have permanent work authorization in the United States.

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