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.