Director, Build Engineer

Pfizer

. Own hands-on software engineering delivery for the Medical Affairs AI Acceleration portfolio .

Posted 9/17/2026full-timeNew York City • New York • United StatesLead💰 $176,600 - $294,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and shipping production-grade AI systems, integrating LLM-based capabilities, and optimizing AI/ML components for performance and reliability. Proficient in full-stack software engineering, cloud architecture, and Agile methodologies, with strong communication and documentation skills.

Highest-signal resume keywords

Full-Stack Software EngineeringAI/ML IntegrationCloud Architecture (AWS or Azure)Agile/Scrum DeliveryCode Review Discipline

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringProduction Software DevelopmentLLM Integration PatternsAPI-First DesignCI/CD PracticesToken Efficiency OptimizationTechnical Debt ResolutionComponent DesignTesting and DocumentationTroubleshooting AI/ML Components

Soft Skills

Strong Written CommunicationCollaborationKnowledge SharingContinuous Improvement

Tools & Technologies

Veeva CRMSalesforce Life Sciences CloudSalesforce Marketing CloudRAG PipelinesLLMOps/MLOps ToolingVector Databases

Certifications & Qualifications

AWS Solutions ArchitectAzure Solutions ArchitectAWS DeveloperAzure Developer

Industry Keywords

PharmaceuticalLife SciencesRegulated IndustryGxPHIPAAGDPR

Tech Stack

Tools & technologies

AWSAzureCloud

About the role

Key responsibilities & impact

Own hands-on software engineering delivery for the Medical Affairs AI Acceleration portfolio
Design components and write, test, document, and ship production-grade AI systems
Build, test, and ship full-stack software across languages and frameworks
Integrate Agentic AI, LLM-based capabilities, and RAG pipelines into Medical Affairs products
Take proofs of concept and MVPs through to scalable production systems
Verify and review AI-generated code before release
Apply LLM integration patterns including prompt design, multi-provider/model considerations, and RAG
Monitor and troubleshoot AI/ML components in production, including model performance, drift, and reliability
Optimize LLM and agent interactions for token efficiency, cost, latency, and output quality
Integrate enterprise systems such as Veeva CRM, PromoMats, and Salesforce Life Sciences/Marketing Cloud
Identify and resolve technical debt in owned build areas
Partner with Solution Architecture, Data Integration, Product Management, UX/Experience Design, and Scrum Master
Participate in sprint and iteration ceremonies and deliver committed work reliably
Contribute to engineering documentation, code reviews, knowledge sharing, and continuous improvement
Report to the Senior Director, Engineering

Requirements

What you’ll need

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
Ability to work across multiple languages and frameworks
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 and clear technical documentation experience
Must be able to travel to Pfizer offices, vendor offices, and other team meeting locations when required
Must be authorized to be employed in the U.S. by any employer
Permanent work authorization in the United States required
U.S. work visa sponsorship is not available now or in the future
Preferred: pharmaceutical, life sciences, or regulated-industry experience; GxP, HIPAA, and GDPR familiarity
Preferred: LLMOps/MLOps tooling, vector databases, RAG pipeline engineering, or agent orchestration frameworks
Preferred: Veeva CRM, Salesforce Life Sciences Cloud, or Salesforce Marketing Cloud integration patterns
Preferred: AWS/Azure Solutions Architect or Developer certifications

Benefits

Comp & perks

Global Performance Plan bonus target of 20.0% of base salary
Share based long term incentive program
401(k) plan with Pfizer Matching Contributions
Additional Pfizer Retirement Savings Contribution
Paid vacation, holiday and personal days
Paid caregiver/parental and medical leave
Medical, prescription drug, dental and vision coverage
Relocation assistance may be available based on business needs and/or eligibility
Hybrid work arrangement