AI Build Systems Director

Pfizer Belgium

Boston (MA)

On-site

USD 177,000 - 294,000

Full time

5 days ago

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Job summary

Pfizer seeks a hands-on software engineer to own the delivery of AI-enabled Medical Affairs platforms. You will design components, write production-grade code, verify AI-generated outputs, and ship features end-to-end across the full stack.

You will collaborate with architecture, data integration, product management, and UX to deploy MVPs through production while maintaining quality gates. You will drive AI-augmented development practices, optimize prompts and token usage, and ensure robust data

Qualifications

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.

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.
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.
Data & Systems Integration: Partner with the Data Integration Engineer to ensure builds are backed by reliable, well-governed data pipelines.
Cross-Functional Delivery Partnership: Partner with Solution Architecture to implement architectural blueprints and flag design issues discovered during build.
Continuous Improvement: Maintain and grow deep, hands-on technical expertise across relevant languages, frameworks, and AI/ML tooling.