Director, Build Engineer

Pfizer; New York (NY); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Pfizer seeks a hands-on software engineer to design, develop, test, and deploy production-grade AI systems within its Medical Affairs AI Acceleration portfolio. You will translate architecture and product requirements into scalable AI-powered platforms, integrate Agentic AI and LLM capabilities, and ensure system reliability.

Responsibilities include full-stack development, AI-augmented coding, data and system integration, and collaboration with architecture, product management, and UX teams to

Qualifications

• Bachelor's degree in Computer Science or related field.
• 8+ years of software engineering experience.
• Proficiency in multiple programming languages, cloud architecture, API design, CI/CD, and AI/ML integration.
• Experience scaling prototypes into production systems with strong verification and review discipline.

Responsibilities

• Full-stack development for AI-enabled systems.
• AI-augmented coding and verification.
• Data and system integration across platforms.
• Collaboration with solution architecture, product management and UX teams.
• Oversee lifecycle from prototypes to deployment with focus on code quality and documentation.

Skills

Programming languages

Cloud architecture

API design

CI/CD

AI/ML integration

Prototype to production

Verification and code review

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Azure

Job description

Role

Role: Hands-on software engineer responsible for designing, developing, testing, and deploying production-grade AI systems within Pfizer's Medical Affairs AI Acceleration portfolio. Main objectives include translating solution architecture and product requirements into scalable AI-powered platforms, integrating Agentic AI and LLM capabilities, and ensuring system reliability. Responsibilities encompass full-stack development, AI-augmented coding and verification, data and system integration, and collaboration with solution architecture, product management, and UX teams. The role oversees the full lifecycle from prototypes to deployment, emphasizing code quality, maintainability, and documentation. Qualifications: Bachelor's in Computer Science or related field; 8+ years of software engineering experience; proficiency in multiple programming languages, cloud architecture (AWS or Azure), API design, CI/CD, and AI/ML integration; experience scaling prototypes into production systems, with strong verification and review discipline. Preferred skills include pharma or regulated industry experience, familiarity with GxP, HIPAA, GDPR, MLOps tooling, Veeva CRM, Salesforce integrations, and relevant certifications (AWS/Azure). High-value: focus on AI/ML, LLM, RAG pipelines, agent orchestration; deployment in global pharma context with cross-functional collaboration; hybrid work model with travel for onsite meetings; demanding schedule with off-hours work for global coordination.