11 days ago
Shenzhen, ChinaStaff+
Responsibilities
- Partner with cross-functional teams to define, build, and roll out a scalable Generative AI agent platform for priority banking use cases.
- Design and implement the agent runtime, orchestration, tool and function calling, prompt and workflow management, memory and state handling, and integration patterns.
- Build platform evaluation, testing, guardrails, observability, and SLOs/SLAs to establish reliability and quality.
- Monitor and optimize production performance, including model selection, prompt and agent tuning, retrieval quality, caching, throughput, resilience, and root-cause remediation.
- Embed data handling, access management, encryption, auditability, model risk, and safe tool-use controls into the platform.
- Troubleshoot complex issues, support delivery-team onboarding, create runbooks, and serve as an escalation point for incidents and production support.
- Publish reference architectures, APIs/SDKs, templates, best practices, and developer guidance to accelerate consistent adoption.
- Evaluate emerging GenAI and agent capabilities and translate them into platform enhancements with clear value, risk, and cost trade-offs.
Requirements
- Bachelor’s degree or above in Computer Science, Engineering, or a related field.
- At least three years of hands-on software engineering experience with strong Python, Java, or Golang skills.
- Experience using at least one major cloud platform: AWS, Azure, or GCP.
- Ability to deploy and operate production services; Docker and Kubernetes are preferred.
- At least one year of experience building and shipping LLM or GenAI applications.
- Knowledge of agentic workflows and tool/function calling; multi-agent systems experience is a plus.
- Subject-matter expertise in at least one area such as performance monitoring, agent governance control, agent identity, harnesses, agent SDKs, or agent policies/guardrails.
- Ability to articulate a strong vision for agent platforms and concrete best practices for creating skills, agents, or MCP tooling.
- Practical RAG experience, including retrieval, chunking, embeddings, and vector databases such as Milvus, FAISS, Elastic, or Pinecone, is preferred.
- Good verbal English communication and the ability to develop creative solutions while working with technical and non-technical stakeholders.
- AI-native mindset, including use of AI-driven approaches and coding assistants to improve productivity, quality, and engineering practices.
Benefits
- Flexible working, continuous professional development, and opportunities for growth within an inclusive and diverse workplace.
- The role is based in Shenzhen.
- HSBC is an equal opportunity employer committed to considering applications based on merit and suitability.
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About HSBC
Opening up a world of opportunity for our customers, investors, ourselves and the planet. We're a financial services organisation that serves more than 40 million customers, ranging from individual savers and investors to some of the world’s biggest companies and governments. Our network covers 58 countries and territories, and we’re here to use our unique expertise, capabilities, breadth and perspectives to open up a world of opportunity for our customers. HSBC is listed on the London, Hong Kong, New York, and Bermuda stock exchanges. To view our social media terms and conditions please visit the following webpage: http://www.hsbc.com/social-TandCs