# 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_4967783?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/job/senior-manager-aito-ai-platform-and-foundation-66f22bc7-437/ ## Description 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. **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. **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. **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. For more fresh new jobs, check out [yubhub.co](https://yubhub.co/). ## Skills ### Required - AI platform and cloud engineering - LLM foundation management - Production service operation - Cloud cost control - Security and privacy review - PIPL - CAC generative AI rules - MLPS - Model serving - Model as a Service (MaaS) integration - AI gateway - Guardrails - Agent frameworks - Containers - Kubernetes - Identity and access management - Infrastructure as code - CI/CD ### Nice to have - Experience in the pharmaceutical or another highly regulated industry - Experience in the China technology, data, privacy or vendor environment --- Source: [Apply at pfizer.wd1.myworkdayjobs.com](https://pfizer.wd1.myworkdayjobs.com/en-US/PfizerCareers/job/China---Shanghai---Shanghai/Senior-Manager--AI-Platform---Foundation_4967783?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)