Tech Partner, AI Native Engineering Lead
Listed on 2026-07-29
-
Software Development
AI Engineer (Applied/Software)
Welcome to Haleon. We’re a purpose-driven, world-class consumer company putting everyday health in the hands of millions. In just three years since our launch, we’ve grown, evolved and are now entering an exciting new chapter – one filled with bold ambitions and enormous opportunity.
Our trusted portfolio of brands – including Sensodyne®, Panadol®, Advil®, Voltaren®, Theraflu®, Otrivin®, and Centrum® – lead in resilient and growing categories. What sets us apart is our unique blend of deep human understanding and trusted science.
Now it’s time to fully realise the full potential of our business and our people. We do this through our Win as One strategy. It puts our purpose – to deliver better everyday health with humanity – at the heart of everything we do. It unites us, inspires us, and challenges us to be better every day, driven by our agile, performance-focused culture.
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.
- 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.
- 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…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).