Director, AI Build Engineer - Production Systems

Pfizer Belgium; Topeka (KS); Hybrid; USD 177,000 - 294,000; Full time

Benefits offered by this job

401(k) with Pfizer Matching

Health benefits

Paid time off

Relocation assistance

Job summary

Pfizer seeks a Senior Build Engineer to own hands-on software delivery for the Medical Affairs AI Acceleration portfolio. You will translate solution architecture and product requirements into production-grade AI systems, writing full-stack code and verifying AI-generated code with rigorous quality gates.

The role partners with Solution Architecture, Data Integration, Product Management and UX to deploy solutions across MVPs and production, with a hybrid work model and global collaboration.

Qualifications

• 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, 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.
• Strong written communication skills, with a track record of producing clear, current technical documentation for code, APIs, and system design decisions.

Responsibilities

• 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.
• 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 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.
• 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.
• 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.
• 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.

Skills

Full-stack development

AI/ML integration

Agile/Scrum

Code review

LLM prompts

Cloud architecture

Verifying AI-generated code

Documentation

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

AWS

Azure

CI/CD

Veeva CRM (preferred)

Job description

Pfizer seeks a Senior Build Engineer to own hands-on software delivery for the Medical Affairs AI Acceleration portfolio. You will translate solution architecture and product requirements into production-grade AI systems, writing full-stack code and verifying AI-generated code with rigorous quality gates.

The role partners with Solution Architecture, Data Integration, Product Management and UX to deploy solutions across MVPs and production, with a hybrid work model and global collaboration.