# Senior Associate

**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-Associate--AI-Platform---Foundation_4967769-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/senior-associate-c5ae5df1-9e0/

## Description

The Senior Associate is a hands-on platform engineering professional within AITO AI Platform & Foundation, contributing to the build, testing, operation and continuous improvement of China AI platform, cloud and LLM foundation capabilities.

The role performs hands-on platform engineering under established architecture, security, privacy and service standards, and supports AI engineers and PODs building on the platform.

**Key Accountabilities**

- Deliver assigned AI platform, cloud, LLM foundation and platform-operations work to agreed acceptance criteria and quality standards.

- Contribute hands-on build, testing, documentation, monitoring and support for China AI platform capabilities , AI gateway, guardrails, agent runtime, AI development toolchain, reusable AI services, and separate innovation and production environments.

- Contribute hands-on build, testing, automation, documentation and support for 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.

- Support China LLM foundation activities , model onboarding, qualification, evaluation, version and lifecycle management , and prepare evidence for the AI platform technical qualification gate.

- Contribute to platform-level operations , monitoring, incident response, runbooks, service health, and model, token and cost reporting.

- Execute assigned model, service and tool onboarding activities, maintain qualification evidence and keep the platform inventory current.

- Create and maintain technical specifications, test evidence, runbooks and reusable knowledge assets, and escalate blockers promptly.

- Support builder adoption through sample agents, reusable components, documentation and training, and collaborate effectively with PIC and contractor resources.

**Required Capabilities & Competencies**

- 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.

- 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.

- Bachelor’s degree or above in Computer Science, Software Engineering, Artificial Intelligence or a related computing discipline.

- 5+ years of progressive relevant experience based on a bachelor’s degree, where a master’s or doctoral degree may reduce the years required.

- 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.

**Measures of Success**

- Timely, high-quality delivery of assigned platform, cloud and LLM foundation work, supporting agreed service levels.

- Accurate, complete qualification evidence for models, services and tools entering the AI platform technical qualification gate.

- Reliable, well-tested and well-documented platform components, configurations and operational runbooks.

- Reusable platform services, components and knowledge assets adopted by AI engineers and builders across China Commercial.

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## Skills

### Required
- AI platform and cloud engineering
- LLM foundation management
- Production service operation
- Outcome ownership
- AI-first and enterprise-minded
- POD collaboration
- Precision and learning

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

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Source: [Apply at pfizer.wd1.myworkdayjobs.com](https://pfizer.wd1.myworkdayjobs.com/en-US/PfizerCareers/job/China---Shanghai---Shanghai/Senior-Associate--AI-Platform---Foundation_4967769-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)