AI Native Engineering Lead

该职位来源于猎聘 Job Purpose Build Haleon China’s AI-native engineering capability to accelerate China Digital Acceleration, support the new operating model, and turn AI from individual productivity into enterprise-scale delivery capability. This founding role will establish hands-on AI engineering standards, reusable agent and automation frameworks, and practical governance for secure, scalable, China-fit software delivery. The role partners closely with Tech BPs, Architecture, Security, Data & AI, product teams and business functions to reduce over-reliance on external vendors, modernise local applications, and embed AI into high-value business processes.

Key Responsibilities
- Lead the AI-native engineering strategy, standards and developer productivity roadmap for China D&T, translating China Digital Acceleration and the new operating model into practical engineering capabilities.
- Drive hands-on adoption of AI coding and engineering tools with clear guardrails for security, privacy and quality.
- Build internal engineering capability and reusable assets — including RAG, MCP, agent frameworks, workflow orchestration, API integration patterns and reference components — to simplify application archtecture
- Establish AI-driven SDLC governance covering solution design, code review, automated testing, documentation, release management, vulnerability remediation and AI/security assessment.
- Partner with business functions and Tech BPs to redesign end-to-end processes using AI, automation and data, focusing on measurable business value, adoption and sustainable ways of working.
- Work with Architecture, Cloud, Data and Security teams to ensure solutions are aligned with China reference architecture, Alibaba Cloud/Azure hybrid strategy and Responsible AI requirements.
- Modernize China local applications and shared platforms using modular, composable and API-first patterns.
- Define and track engineering productivity and AI adoption KPIs, including cycle time, AI-assisted development usage, reusable asset adoption, cost avoidance, quality, risk reduction and vendor dependency reduction.
- Coach engineers, product teams and vendors, build an AI engineering community of practice, and influence senior stakeholders with clear trade-offs across value, speed, cost, risk and compliance. Scope of Accountability
- Enterprise AI engineering standards, reusable frameworks and delivery governance for Haleon China.
- Internal engineering capability build-up, including AI-assisted development, agent engineering, automation and modern application engineering practices.
- Productized AI and agent capabilities that can be reused across priority business functions and high-value China use cases.
- Modernization of local applications and shared platforms with secure, modular, API-first and cloud-ready design.
- Measurable productivity improvement, cost avoidance, risk reduction, and reduced reliance on outsourced development.
- Cross-functional leadership across Tech BPs, Architecture, Security, Cloud, Data & AI, product squads, business teams and external partners. Number of Direct Reports: 0 Number of Indirect Reports: Cross-functional product squads, platform teams, external partners and engineering community of practice Knowledge / Education / Experience Required
- Educational Background Bachelor’s degree in computer science, Software Engineering, Information Technology, Data Science, Engineering or a related discipline. An advanced degree or equivalent practical experience in AI, software architecture, cloud engineering or digital product development is preferred.
- Job-Related Experience
- 5+ years of professional experience in software engineering, solution architecture, platform engineering, AI engineering, product engineering or a closely related role.
- Strong hands-on engineering capability with practical experience building production-grade applications, integrations, automations or AI-enabled solutions.
- Proven experience with LLMs, agentic AI patterns, RAG, vector databases, workflow orchestration, tool/function calling, API integration and enterprise knowledge solutions.
- Solid understanding of cloud-native architecture, DevOps/CI-CD, automated testing, observability, release management and secure software delivery.
- Experience establishing engineering standards, reusable frameworks, developer enablement and governance in a complex enterprise environment.
- Experience working with internal teams and external vendors, with the ability to shift delivery from vendor-led execution to reusable internal capability.
- Exposure to China digital ecosystem, Alibaba Cloud, Tencent/WeCom, ByteDance/Douyin, local compliance and cross-border data considerations is a strong advantage.
- Experience in FMCG, Consumer Health, Retail or Finance technology domains is preferred.
- Track record of coaching engineers, influencing senior stakeholders and translating technical choices into business value, cost, risk and adoption outcomes.
- Other Job-Related Skills / Background
- Hands-on development skills in Python and/or TypeScript; practical use of AI coding
- Strong knowledge of prompt engineering, agent design, RAG, vector search, evaluation, guardrails, Responsible AI and AI security practices.
- Familiarity with enterprise integration, API management, workflow orchestration, MCP/tool integration, cloud platforms, observability and security scanning.
- Strong product mindset with the ability to build reusable capabilities rather than one-off solutions.
- Commercial acumen and ability to connect engineering investment to growth, productivity, resilience and measurable value.
- Excellent communication in English and Chinese; able to simplify complex technical topics for senior business and global stakeholders.
- Strong stakeholder management, consulting mindset and ability to operate in ambiguity while keeping clear decision rights, priorities and delivery discipline.
- Passion for team capability building, coaching and creating a modern engineering culture within Digital & Tech.