Senior Manager, AITO AI Platform & Foundation

The Senior Manager, AITO AI Platform & Foundation, is a capability leader within Pfizer's AI organization, owning one or more capability areas, including the Corporate & Global CIO liaison, while retaining sufficient breadth to lead across the China AI platform and LLM foundation.

The role combines senior technical leadership with hands-on direction of platform engineering, model qualification, release management, and service operation, ensuring that AI builders across Pfizer China Commercial work on one governed, secure, and cost-transparent platform.

Key Accountabilities:

• Own one or more team capability areas end-to-end, including roadmap, standards, delivery, controls, service levels, and lifecycle outcomes.
• Lead and govern China AI platform engineering, including AI gateway, guardrails, agent runtime, AI development toolchain, reusable AI services, and separate innovation and production environments.
• Lead and govern cloud platform engineering on approved China cloud environments, including Tencent Cloud and Alibaba Cloud.
• Lead and govern the China LLM foundation, including model selection, onboarding, qualification, evaluation, version, and lifecycle management.
• Lead and govern Corporate & Global CIO liaison, including AI platform, cloud, security, and architecture requirements.
• Lead and govern platform-level operations, including on-call, incident response, runbooks, platform reliability, service health, and model, token, and cost reporting.
• Set and enforce platform-level engineering standards, including AI platform reference architectures, platform CI/CD, infrastructure as code, code review, and documentation.
• Manage material risks, dependencies, capacity, and vendor deliverables, and mentor managers, engineers, and contractors.

Required Capabilities & Competencies:

• Critical Capabilities & Qualifications:
• AI platform and cloud engineering: model serving or Model as a Service (MaaS) integration, AI gateway, guardrails, agent frameworks, containers and Kubernetes, identity and access management, infrastructure as code, and CI/CD.
• LLM foundation management: model qualification, pre-production evaluation, and lifecycle management.
• Production service operation, observability, cloud cost control, security and privacy review, and working knowledge of PIPL, CAC generative AI rules, and MLPS.
• Bachelor’s degree or above in Computer Science, Software Engineering, Artificial Intelligence, or a related computing discipline.
• 10+ years of progressive relevant experience.
• Demonstrated ability to work across business, product, technology, data, and governance stakeholders in a matrixed environment.
• Leadership Expectations:
• Outcome ownership: connects decisions to measurable business, user, service, and transformation outcomes.
• AI-first and enterprise-minded: applies responsible AI, reuse, architecture, security, privacy, and scale principles.
• POD collaboration: enables clear accountability, effective cross-functional execution, and minimal handoff friction.
• Precision and learning: communicates clearly, documents decisions, uses evidence and telemetry, and continuously improves delivery.

Measures of Success:

• A secure, compliant, and cost-transparent China AI platform and LLM foundation.
• Every new model, service, and tool onboarded through documented qualification and the AI platform technical qualification gate.
• Global patterns reused, China requirements visible on global roadmaps, and no fragmented local platforms.
• Reusable platform services and components adopted by AI engineers and builders across China Commercial.