# Senior Manager, AITO AI Platform & Foundation

**Company**: Pfizer
**Location**: Shanghai, Shanghai
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://pfizer.wd1.myworkdayjobs.com/en-US/PfizerCareers/job/China---Shanghai---Shanghai/Senior-Manager--AI-Platform---Foundation_4967786?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/senior-manager-aito-ai-platform-and-foundation-555fcdc0-d55/

## Description

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.

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## Skills

### Required
- AI platform and cloud engineering
- LLM foundation management
- model serving
- Model as a Service (MaaS) integration
- AI gateway
- guardrails
- agent frameworks
- containers and Kubernetes
- identity and access management
- infrastructure as code
- CI/CD
- model qualification
- pre-production evaluation
- lifecycle management
- production service operation
- observability
- cloud cost control
- security and privacy review
- PIPL
- CAC generative AI rules
- MLPS

### Nice to have
- experience in the pharmaceutical or another highly regulated industry
- China technology, data, privacy, or vendor environment experience

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Source: [Apply at pfizer.wd1.myworkdayjobs.com](https://pfizer.wd1.myworkdayjobs.com/en-US/PfizerCareers/job/China---Shanghai---Shanghai/Senior-Manager--AI-Platform---Foundation_4967786?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)