Define the target-state AI architecture (data, model, application, and infrastructure layers)
Establish the North Star for foundational capabilities
Set architecture principles that balance innovation speed with compliance, reliability, and total cost of ownership
Publish reference architectures and blueprints for priority use cases
Define LLMOps / MLOps standards
Codify security, privacy, and Responsible AI guardrails
Own the enterprise AI architecture roadmap; align with business strategy and portfolio funding
Manage technology lifecycle for AI frameworks, model classes, toolchains, and platforms
Maintain a strong external network
Run evidence-based proofs-of-value
Embed model risk management, validation evidence, and audit-ready documentation into patterns
Promote API-first and event-driven integration between AI services and enterprise systems

Requirements

BS/BA degree required, higher degree preferred or relevant experience
15+ years in architecture or advanced engineering leadership
7+ years designing AI/ML platforms and solutions at enterprise scale
Demonstrated mastery across LLMs/foundation models, retrieval/RAG, agents/orchestration, evaluation, model safety, and LLMOps/MLOps.
Deep experience in regulated environments (life sciences/healthcare or equivalent), including validation, auditability, and documentation rigor.
Proven ability to create reference architectures and standards and drive adoption through governance that enables speed (not bureaucracy).
Strong external network and a track record of curating innovation (ecosystem scouting, PoVs, build/partner/buy).
Hands-on credibility with modern stacks: vector databases, feature stores, model registries, observability, event-driven and API-first integration, cloud/HPC, and performance engineering for training and inference.
Exceptional influence and storytelling skills; able to align senior stakeholders and simplify complex trade-offs.

Benefits

Comprehensive health benefits including medical, prescription drug, dental and vision coverage
401(k) plan with Pfizer Matching Contributions
Additional Pfizer Retirement Savings Contribution
Paid vacation, holiday and personal days
Paid caregiver/parental and medical leave
Eligibility to participate in Pfizer’s Global Performance Plan with a bonus target of 30.0% of base salary
Eligibility to participate in our share based long term incentive program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI architectureLLMOpsMLOpsmodel risk managementvalidation evidencereference architecturesAPI-first integrationevent-driven integrationperformance engineeringdesigning AI/ML platforms

Soft Skills

influence skillsstorytelling skillsstakeholder alignmentinnovation curationgovernanceevidence-based decision makingcomplex trade-off simplification