Pfizer Jobs

Senior Manager, AI Platform & Foundation

Pfizer

Senior Manager, AI Platform & Foundation

Posted An Hour Ago

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4 Locations

In-Office

Senior level

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical

We’re in relentless pursuit of breakthroughs that change patients’ lives.

The Role

Leads Pfizer China’s AI platform and LLM foundation, overseeing platform and cloud engineering, model qualification, lifecycle management, security, governance, reliability, cost transparency, and production operations. Establishes engineering standards, technical qualification gates, reusable AI services, and compliant platform practices. Partners with global technology, cybersecurity, governance, legal, compliance, procurement, and cloud vendor teams while managing risks, capacity, vendors, and senior technical talent.

Summary Generated by Built In

1.Role Summary
The Senior Manager is a capability leader within AITO AI Platform & Foundation, 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, so that AI builders across Pfizer China Commercial work on one governed, secure and cost-transparent platform.
2. 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 - 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, and other approved providers as applicable - environments, identity and access management, GPU capacity, model serving, monitoring and infrastructure as code.

Lead and govern the China LLM foundation - model selection, onboarding, qualification, evaluation, version and lifecycle management - and the AI platform technical qualification gate for models, services and tools.

Lead and govern Corporate & Global CIO liaison - AI platform, cloud, security and architecture requirements, re-use of global patterns and visibility of China requirements on global roadmaps.

Lead and govern platform-level operations - on-call, incident response, runbooks, platform reliability, service health, and model, token and cost reporting.

Set and enforce platform-level engineering standards - AI platform reference architectures, platform CI/CD, infrastructure as code, code review and documentation - and support localize-versus-build decisions.

Manage material risks, dependencies, capacity and vendor deliverables, and mentor Managers, engineers and contractors.

3. Required Capabilities & Competencies
(a) 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 (safety, content compliance and performance) 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 based on a bachelor's degree, where a master's or doctoral degree may reduce the years required, with scope and judgment consistent with this role.

Demonstrated ability to work across business, product, technology, data and governance stakeholders in a matrixed environment.

Experience in the pharmaceutical or another highly regulated industry, and the China technology, data, privacy or vendor environment, is preferred.

(b) 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 appropriate to the work.

POD collaboration: enables clear accountability, effective cross-functional execution and minimal handoff friction across the AI engineering pool, D&T, PIC, Corporate and Global CIO teams and governance partners.

Precision and learning: communicates clearly, documents decisions, uses evidence and telemetry and continuously improves delivery.

4. Key Collaboration
aligns the AI platform technical qualification gate with the production-readiness and go-live gate run by D&T Enterprise Engineering, Deployment & Operations, and directs matrixed PIC and contractor capacity. Outside CEI, it engages Corporate and Global CIO platform, cloud hosting, cybersecurity and AI governance teams, Procurement, Legal, Compliance, the China Data Protection Office (DPO) and cloud vendors.
5. Measures of Success

A secure, compliant and cost-transparent China AI platform and LLM foundation, running to agreed service levels.

Every new model, service and tool onboarded through documented qualification and the AI platform technical qualification gate.

Global patterns re-used, 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.

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers .
Information & Business Tech

Skills Required

Bachelor’s degree or above in Computer Science, Software Engineering, Artificial Intelligence, or a related computing discipline
10+ years of progressive relevant experience with scope and judgment consistent with a senior management role
Experience with AI platform and cloud engineering, including model serving or MaaS integration, AI gateways, guardrails, agent frameworks, containers, Kubernetes, IAM, infrastructure as code, and CI/CD
Experience managing LLM model qualification, pre-production safety and performance evaluation, onboarding, versioning, and lifecycle management
Experience with production service operations, observability, cloud cost control, security, privacy review, and platform reliability
Working knowledge of PIPL, CAC generative AI rules, and MLPS
Ability to work across business, product, technology, data, and governance stakeholders in a matrixed environment
Experience in the pharmaceutical or another highly regulated industry
Experience with the China technology, data, privacy, or vendor environment
Master’s or doctoral degree may reduce the required years of experience

What the Team is Saying

Pfizer Compensation & Benefits Highlights

Healthcare Strength — Healthcare coverage is described as comprehensive, with multiple plan options, dental and vision, mental-health services, telehealth, and eligible Pfizer medications at no cost. Family-building benefits such as infertility treatment, adoption, and surrogacy support further reinforce the offering.
Retirement Support — Retirement support includes a 401(k) with employer matching plus an additional company retirement contribution, alongside access to financial-planning resources. This combination is positioned as a meaningful part of total rewards.
Leave & Time Off Breadth — Paid time off includes 15 holidays, three to six weeks of vacation depending on service, and the option to purchase additional vacation weeks, plus dedicated caregiver-leave days. Twelve weeks of paid parental leave and backup care resources add flexibility for family needs.

Learn more about Pfizer's Compensation & Benefits →

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The Company

HQ: New York, NY

121,990 Employees

Year Founded: 1848

What We Do

Our purpose ensures that patients remain at the center of all we do. We live our purpose by sourcing the best science in the world; partnering with others in the healthcare system to improve access to our medicines; using digital technologies to enhance our drug discovery and development, as well as patient outcomes; and leading the conversation to advocate for pro-innovation/pro-patient policies.

Why Work With Us

We are the inventors, the problem solvers, the big thinkers — those who surmount any hurdle to deliver breakthrough medicines to the people who are counting on them the most.