# Engineering Lead

**Company**: Finance
**Location**: Guangzhou, Guangdong
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://portal.careers.hsbc.com/careers/job/563774612208565?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_6c8edf93-52f

## 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.

## Skills

### Required
- Java
- Python
- AI
- LLMs
- LangChain
- LangGraph
- DevOps
- Kubernetes
- Cloud-native technologies

### Nice to have
- Knowledge & Retrieval Engineering
- Platform & Cloud Engineering
- GraphRAG
- Knowledge graphs

---

Source: [Apply at portal.careers.hsbc.com](https://portal.careers.hsbc.com/careers/job/563774612208565?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)