Description
Some careers have more impact than others. If you're looking for a career where you can make a real impression, join HSBC and discover how valued you'll be.
We are currently seeking an experienced professional to join our team in the role of Engineering Lead.
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, and knowledge graphs.
- 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: Bachelor's 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, with recent 3 years of experience working in a commercial environment to deliver AI-related production systems.
- 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, and practical experience with LangChain and/or LangGraph.
- 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.
Benefits
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.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://portal.careers.hsbc.com/careers/job/563774612208565