Director, Applied AI
Listed on 2026-06-17
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Software Development
AI Engineer (Applied/Software), Software Architect
Locations
United States – Pennsylvania – Collegeville
United States – New York – New York City
As Director, Applied AI, you lead the realization of AI strategy into tangible, production‑grade solutions, platforms, and products. You operate at the intersection of architecture, engineering, and product thinking — translating strategy, patterns, and standards into working systems deployed in real enterprise environments.
Why This Role MattersPfizer’s purpose — breakthroughs that change patients’ lives — depends on turning strategy into systems that truly work. This role ensures strategy and architecture become real, working solutions — deployable, integrated, and sustainable in production — and that the team and partners around you deliver to the same standard.
Candidate ProfileYou are a hands‑on technical leader with strong execution capability and architectural judgment. You operate across disciplines — architecture, engineering, and product — and drive solutions from ambiguous beginnings to production reality. You are known for enforcing technical truth: ensuring what is built is correct, complete, scalable, and aligned with enterprise systems. You can frame a technical decision in terms of the business outcome it serves, and you can lead a mixed team of engineers, contractors, and vendors to ship it.
Responsibilities- 10+ years in software engineering, AI/ML, or architecture roles, with a strong delivery track record.
- Proven experience building production‑grade AI/ML systems or platforms.
- Current hands‑on coding ability and strong depth across at least 2–3 of: AI/ML and generative AI; system design/architecture; data engineering; cloud engineering.
- Demonstrated ability to lead complex technical initiatives end‑to‑end.
- Experience leading or coordinating engineers, contractors, and vendors to deliver production systems.
- Ability to connect technical decisions to business and commercial outcomes.
- Experience operating in cross‑functional, matrixed environments.
- Experience with LLMs, retrieval architectures, AI agents, observability, monitoring, AI governance and guardrails.
- Experience with Claude Code, Claude Enterprise, MCP development, and Claude Skill Development.
- Prior role in biopharma TA, epidemiology, or similar with hands‑on real‑world data experience.
- Experience in enterprise‑scale or regulated environments.
- Experience leading platform or large solution‑development efforts.
- Familiarity with CI/CD, Dev Ops, and production operations.
Senior Director, Applied AI;…
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