锦鲤求职锦鲤求职

汇丰控股

Head of Productivity Suite Engineering Lead - AI

  • 社招
  • 广州 / 中国香港
  • 高级管理职位
  • 发布于 2026-10-13
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岗位描述

Oversee delivery of the HPS engineering roadmap in partnership with Product and wider Technology Steer the transition of HPS towards personal-agent and agentic AI capabilities Set technical direction across applications, AI and Agentic AI, platforms, architecture, data, APIs and developer tooling Deliver secure, scalable, reliable and resilient production systems with strong support, monitoring and incident management Embed engineering practices across design, testing, automation, DevSecOps and observability to improve pace and quality while managing cost Maintain robust technology, privacy, model-risk, cyber, compliance and operational controls Build and sustain an inclusive global engineering organisation across the UK, China, India and Poland including team structure and ways of working Develop technical talent through coaching, role modelling and clear expectations for engineering standards and delivery outcomes Make technology choices that remain relevant as the AI landscape evolves balancing innovation with responsible AI and production standards Building Agentic Productivity at HSBC Bring substantial hands-on software engineering experience turning concepts into enterprise-grade products Show proven experience delivering and operating large-scale AI-enabled production systems including GenAI applications Demonstrate expertise in LLM-based applications, personal agents, agentic workflows and Retrieval-Augmented Generation (RAG) Apply practical experience with model evaluation, safety guardrails and responsible AI in production Use hands-on engineering skills across Python, APIs, microservices, databases, cloud platforms, containers and Kubernetes Establish DevSecOps, automated testing, observability and Site Reliability Engineering (SRE) practices for reliable production operations Set architecture, engineering standards and technical direction for complex systems with clear trade-offs and operational accountability Manage delivery across distributed, multi-country engineering teams and partner with Product Owners on roadmaps and measurable outcomes

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