Sr. Associate Director, Software Engineering (Guangzhou_Xi'an_GenAI Agent Platform)

We are currently seeking an experienced professional to join our team in the role of Sr. Associate Director, Software Engineering (GenAI Agent Platform).

Principal responsibilities:

• Partner with cross-functional stakeholders to define, build and implement a Generative AI Agent platform supporting priority banking services from discovery through production rollout.
• Architect enterprise-grade platform capabilities, including agent orchestration, workflow design, tool/function integration, memory and state management, skill registry/management, and reusable patterns that enable consistent delivery across teams.
• Drive platform adoption at scale by creating reference implementations, onboarding pathways, developer enablement, and governance that accelerates safe, repeatable delivery of agent solutions.
• Own platform performance management: define success metrics and SLOs, implement observability, run evaluations, and continuously tune reliability, accuracy, latency and cost to optimise outcomes.
• Oversee end-to-end delivery execution, proactively managing scope, risks, dependencies and milestones; coordinate across teams to remove blockers and ensure timely, high-quality outcomes.
• Act as a trusted advisor to senior leadership, translating technical options into clear recommendations, trade-offs, and delivery plans to support informed decision-making.
• Stay current on GenAI/agent advancements, assess applicability to HSBC use cases, and drive pragmatic upgrades that keep the platform secure, compliant and competitive.

Requirements:

• Education & English: Bachelor’s degree or above in Computer Science/Engineering; strong communication skills including verbal communication in English.
• Software Engineering: 5+ years’ hands-on coding practice, strong Python or Java or Golang, with usage of at least one major cloud; ability to deploy and operate services in production.
• GenAI / LLM Delivery: 2+ years building and shipping LLM/GenAI applications; Proven practices with agentic workflows, multi-agents, and tool/function calling.
• Problem-solving & commitment, strong ability to develop creative solutions to complex challenges, working effectively with technical and non-technical stakeholders.
• Demonstrates an AI-native mindset by applying AI-driven approaches to improve productivity, quality, and engineering best practices.