Senior Associate

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.