Director, Build Engineer

Pfizer; New York (NY); Hybrid; USD 177,000 - 294,000; Full time

Benefits offered by this job

401(k) with Pfizer Matching

Paid vacation, holidays, and personal/

Parental and medical leave

Health benefits

Job summary

Pfizer is seeking an accomplished hands‑on software engineer to lead AI-augmented development for the Medical Affairs AI Acceleration portfolio. You will take product requirements from prototype to production, shipping scalable AI systems and maintaining rigorous verification of AI-generated code.

The role emphasizes cross-functional collaboration with Solution Architecture, Data Integration, Product, and UX to deliver production-grade solutions.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 8+ years of hands-on software engineering experience.
• Experience building and shipping production software across the full stack.
• Experience integrating AI/ML or LLM-based capabilities into production systems.
• Experience taking prototypes/MVPs through to production-grade systems.
• Experience with modern cloud architecture (AWS or Azure), API-first design, and CI/CD.
• Experience with Agile/Scrum delivery frameworks.
• Strong verification and code-review discipline, including AI-generated code review.
• Experience designing and optimizing LLM/agent prompts for production efficiency.

Responsibilities

• Build, test, and ship production-grade software across the full stack.
• Integrate Agentic AI, LLM-based capabilities, and RAG pipelines into products.
• Collaborate with Data Integration Engineer to ensure reliable data pipelines.
• Partner with Solution Architecture and Product/UX to translate requirements into working software.
• Maintain engineering documentation, code reviews, and knowledge sharing.

Skills

Full-stack software engineering

AI/ML integration

Cloud (AWS/Azure)

CI/CD

Agile/Scrum

LLM prompts/agents

Technical writing

Code review/verification

Education

Bachelor's degree in CS/Engineering

Tools

Veeva CRM

Salesforce Life Sciences Cloud

Salesforce Marketing Cloud

Job description

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 CRM, PromoMats, Salesforce Life Sciences/Marketing Cloud) as required by product and architecture specifications. Identify and resolve technical debt in owned build areas, balancing delivery speed against long‑term system health.

Cross‑Functional Delivery Partnership

Partner with Solution Architecture to implement architectural blueprints and flag design issues discovered during build. Partner with Product Management and UX/Experience Design to translate product and workflow requirements into working software, surfacing technical trade‑offs early. Participate in sprint and iteration ceremonies with the Scrum Master, delivering committed work reliably.

Continuous Improvement

Maintain and grow deep, hands‑on technical expertise across relevant languages, frameworks, and AI/ML tooling. Contribute to engineering documentation, code review practice, and knowledge‑sharing that scales beyond the immediate build area. Bring emerging engineering and AI‑development practices into the team's day‑to‑day work.

BASIC QUALIFICATIONS

• Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
• Bachelor's degree in Computer Science, Engineering, or related field; 8+ years of hands‑on software engineering experience.
• Demonstrated experience building and shipping production software across the full stack, with the ability to work across multiple languages and frameworks as needed.
• Experience integrating AI/ML or LLM‑based capabilities into production systems.
• Experience taking prototypes/MVPs through to production‑grade, scalable systems.
• Experience with modern cloud architecture (AWS or Azure), API‑first design, and CI/CD practice.
• Experience with Agile/Scrum delivery frameworks.
• Strong verification and code‑review discipline, including review of AI‑generated code.
• Experience designing and optimizing LLM/agent prompts and workflows for token efficiency, balancing cost, latency, and output quality at production scale.
• Strong written communication skills, with a track record of producing clear, current technical documentation for code, APIs, and system design decisions.

PREFERRED QUALIFICATIONS

• Experience in pharmaceutical, life sciences, or another regulated industry, with familiarity with GxP, HIPAA, and GDPR compliance requirements for engineered systems.
• Hands‑on experience with LLMOps/MLOps tooling, vector databases, RAG pipeline engineering, or agent orchestration frameworks.
• Familiarity with Veeva CRM, Salesforce Life Sciences Cloud, or Salesforce Marketing Cloud integration patterns.
• Experience collaborating directly with business stakeholders to translate ambiguous problems into technical solutions.
• Relevant certifications (AWS/Azure Solutions Architect or Developer).

Other Job Details

Last Date to Apply for Job: October 01, 2026.

Locations: USA Any Pfizer Site and Europe Any Pfizer Site.

NOT Eligible for Relocation Package.

Position is hybrid and will require to work 2 to 3 days per week site.

The annual base salary for this position ranges from $176,600.00 to $294,300.00.

In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program.

We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments.

Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage.

Relocation assistance may be available based on business needs and/or eligibility.

Candidates must be authorized to be employed in the U.S. by any employer.

U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.

Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.

EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email [e-mail]. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.

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