Director, AI Systems Design

Role Summary

As Director of AI Systems Design & Enablement, you will be accountable for designing and operationalizing the core technical frameworks that underpin Pfizer's Enterprise Agentic AI strategy. Reporting into the Lead of Applied AI & Agentic Solutions, your remit spans across all AI solution teams globally, driving the standardization, safety, and reusability of AI capabilities aligned with Executive Leadership Team (ELT) priorities.

You will lead the creation of shared SDKs, evaluation frameworks, and reference architectures that empower product-aligned AI teams to deliver scalable, enterprise-grade AI solutions-accelerating development timelines, improving safety, and ensuring reproducibility. Your work will directly support cross-functional initiatives and other priority use cases sponsored by executive stakeholders.

You will also be a key voice in shaping the technical strategy of the AI Center of Excellence (CoE), and play a critical role in knowledge transfer, mentoring, and engineering culture.

Why This Role Matters

Enterprise AI development often stalls due to fragmented tooling, inconsistent standards, and duplicated effort. This role ensures that all AI workstreams-whether in medical, commercial, or research domains-can build on a solid foundation of reusable, safe, and performant components. You will enable the AI Center of Excellence to move from bespoke solutions to standardized systems, accelerating progress on flagship initiatives sponsored by the ELT and their direct reports.

Your contributions will elevate the technical maturity of Pfizer's AI estate, empower dozens of AI Engineers and Data Scientists across functions, and make agentic AI innovation safer and faster.

Role Responsibilities

• Lead the end-to-end development of reusable AI frameworks, SDKs, and toolkits to be used across multiple product teams and use cases.
• Define and maintain enterprise-wide standards for AI experimentation, model evaluation, benchmarking, and safety protocols.
• Collaborate closely with AI Solution Architects, Software Engineering, DevOps, and Platform Engineering to ensure technical alignment and system coherence.
• Translate enterprise AI strategy into scalable technical architectures that can be adopted by teams across business units.
• Contribute to and enforce technical guardrails that enable responsible agentic AI systems, working with Legal, Privacy, and Responsible AI functions.
• Partner with initiative sponsors to ensure alignment with program milestones for top-priority efforts for R&D, Commercial, Manufacturing and other BUs.
• Provide technical oversight across multiple teams and products, mentoring Senior Engineers, and contributing to the development of Pfizer's internal AI engineering community.
• Guide knowledge-sharing, onboarding, and internal upskilling efforts through high-quality documentation, internal workshops, and reference implementations.

Basic Qualifications

• Minimum of a Bachelor's Degree, preferably in STEM (Science, Technology, Engineering, Mathematics) or related field, required
• 10 years of experience in AI/ML engineering, platform development, or software system design, with a track record of cross-team technical leadership.
• Demonstrated ability to lead teams building internal toolkits, reusable platforms, or developer enablement services.
• Deep technical expertise in at least one of the following: LLMs, time series forecasting, generative models, or classical ML techniques.
• Strong grasp of AI system lifecycle including training, evaluation, deployment, monitoring, and feedback loops.
• Excellent collaboration skills across engineering, architecture, data, and business functions.
• Proven experience mentoring senior engineers and contributing to technical vision across organizational boundaries.
• Excellent communication and stakeholder engagement skills.

Preferred Qualifications

• Background in regulated environments such as pharmaceuticals, healthcare, or finance.
• Hands-on experience with multi-agent systems, responsible AI practices, or automated evaluation pipelines.
• Demonstrated success in platform or enablement teams supporting cross-functional teams.
• Experience working with global stakeholders and managing matrixed relationships.
• Familiarity with clinical, commercial, or scientific data types and their associated challenges.

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

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