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

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

**Apply**: https://portal.careers.hsbc.com/careers/job/563774611664144?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b5102b7e-a8e

## Description

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

Principal responsibilities:

- Partner with cross-functional teams to define, build and roll out a scalable Generative AI agent platform for priority banking use cases from pilot to production.

- Own the end-to-end platform engineering: design and implement the agent runtime, orchestration, tool/function calling, prompt and workflow management, memory/state handling, and integration patterns,leveraging frameworks such as LangChain/LangGraph (where appropriate) while avoiding unnecessary vendor/framework lock-in.

- Establish platform reliability and quality by building in evaluation and testing (offline/online), guardrails, observability (logs/traces/metrics), and clear SLOs/SLAs to ensure accuracy.

- Continuously monitor and optimise platform performance in production, including model selection, prompt/agent tuning, retrieval quality, caching, throughput, and resilience; drive root-cause analysis and preventative improvements.

- Embed security, privacy and compliance by design: ensure controls for data handling, access management, encryption, auditability, model risk considerations, and safe tool use; align to internal governance and relevant regulatory expectations.

- Provide technical leadership and hands-on support: troubleshoot complex issues, support onboarding of delivery teams, create runbooks, and act as an escalation point for incidents and production support.

- Maintain strong platform documentation and enablement: publish reference architectures, APIs/SDKs, templates, best practices, and developer guidance to accelerate adoption and consistent delivery across teams.

- Track and evaluate emerging GenAI/agent capabilities (e.g., new orchestration patterns, evaluation methods, safety techniques, model/tooling advances) and translate them into pragmatic platform enhancements with clear value, risk and cost trade-offs.

Requirements:

- Education & English: Bachelor’s degree or above in Computer Science/Engineering (or related); basic verbal communication in English.

- Software Engineering: 3+ years’ handson coding practice, strong Python or Java or Golang, with usage of at least one major cloud (AWS/Azure/GCP); ability to deploy and operate services in production (Docker/Kubernetes preferred).

- GenAI / LLM Delivery: 1+ years building and shipping LLM/GenAI applications; knowledge with agentic workflows and tool/function calling (multi-agent systems a plus).

- 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, including coding assistants, to improve productivity, quality, and engineering best practices.

- RAG/MCP preferred: Practical RAG experience (retrieval, chunking, embeddings, vector databases such as Milvus/FAISS/Elastic/Pinecone)

## Skills

### Required
- Python
- Java
- Golang
- AWS
- Azure
- GCP
- Docker
- Kubernetes
- LangChain
- LangGraph

### Nice to have
- RAG
- MCP
- Milvus
- FAISS
- Elastic
- Pinecone

---

Source: [Apply at portal.careers.hsbc.com](https://portal.careers.hsbc.com/careers/job/563774611664144?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)