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We are currently seeking an experienced professional to join our team in the role of Engineering Lead.

Business:Finance COO

Job ID66415

Principal responsibilities

Platform architecture & core capability design

• Lead overall architecture design and core capability development for an AI Agent platform, including task orchestration, tool invocation, context management, memory mechanisms, and multi-agent collaboration.

AI-native engineering integration

• Embed AI-native capabilities into engineering workflows, such as AI coding, technical solution generation, test case generation, test report generation, and automated environment setup/orchestration.

Knowledge augmentation layer design

• Design, integrate, and apply enterprise knowledge enhancement capabilities, including:
  • RAG (Retrieval-Augmented Generation)
  • GraphRAG
  • Knowledge graphs (design, integration, and application)

Runtime governance & operational framework

• Establish AI agent runtime and governance frameworks, including:
  • Isolation and sandboxing
  • Access control and permissioning
  • Auditability and traceability
  • Evaluation and quality measurement
  • Stability, reliability, and cost management

Cross-functional delivery

• Partner with Product, Engineering, QA, Operations, and platform teams to standardise and productionise platform capabilities, improving delivery quality and engineering efficiency.

Requirements

Education:

• Bachelors degree or above (preferred majors: Computer Science, Software Engineering, AI, or related fields).

Experience:

• • 8+ years in backend/platform engineering, architecture, or similar enterprise-scale delivery roles.
  • Recent 3 years, working in a commercial environment to deliver AI related production

System thinking:

• Strong ability to design and evolve complex systems with a focus on scalability, maintainability, and performance.

Engineering strength:

• Proficient in Java/Python with strong coding fundamentals and architectural judgment; hands-on experience delivering complex systems.

AI/Agent Architecture Skills (Must Have)

• Deep understanding of LLMs and agent architectures, including:
  • Task decomposition & planning
  • Tool use / function calling patterns
  • Context and session management
  • Memory design
  • Execution loops and exception handling
• Practical experience with LangChain and/or LangGraph (or equivalent orchestration frameworks).
• Familiarity with mainstream AI coding and developer tools (examples: Claude Code, Codex, Cursor, Copilot or equvlenece).

Knowledge & Retrieval Engineering (Strong Plus)

• Hands-on experience designing and implementing enterprise RAG, GraphRAG, or knowledge graph solutions for real application scenarios.

Platform & Cloud Engineering (Strong Plus)

• Strong DevOps mindset; experience with DevOps practices, CI/CD, Kubernetes, and cloud-native technologies.
• Ability to drive cross-team execution and deliver outcomes in production environments.

Youll achieve more when you join HSBC.

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.

Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

***Issued By HSBC Software Development (GuangDong) Limited***