HSBC

3 weeks ago

Associate Director, Software Engineering (Guangzhou_Xi'an_GenAI Agent Platform) (Guangzhou, GD, CN, 510620)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead and shape the GenAI agent platform for HSBC’s CTO Platforms team, driving end-to-end platform engineering, reliability, security and performance at scale across Guangzhou and Xi’an. You’ll design runtimes and workflows, integrate tools, ensure governance, and provide hands-on leadership in production-grade GenAI solutions for banking use cases.

Location: Guangzhou, Xi'an

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key 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.

Key Requirements

•Bachelor’s degree in Computer Science/Engineering (or related); basic verbal communication in English.
•3+ years software engineering experience with 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).
•1+ years building and shipping LLM/GenAI applications; knowledge with agentic workflows and tool/function calling (multi-agent systems a plus).
•Proven problem-solving skills; ability to develop creative solutions and work with technical and non-technical stakeholders.
•Practical RAG experience (retrieval, chunking, embeddings, vector databases such as Milvus/FAISS/Elastic/Pinecone) (RAG/MCP preferred).

Experience:3+ yearsGenAILLMAI

Education:Bachelor's

Skills:Problem-solvingLeadershipTeam collaborationCommunication

Languages:English

Tech Stack:PythonJavaGolangAWSAzureGCPDockerKubernetesLangChainLangGraphMilvusFAISSElasticPinecone

Company Brief

HSBC

Global banking and financial services organisation offering retail, commercial, corporate and investment banking, wealth management, and global markets services across Europe, Asia, the Americas and the Middle East.

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 1865

Glassdoor: 3.6

Website LinkedIn

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HSBC

3 weeks ago

Associate Director, Software Engineering (Guangzhou_Xi'an_GenAI Agent Platform) (Guangzhou, GD, CN, 510620)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Guangzhou, Xi'an

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key 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.

Key Requirements

•Bachelor’s degree in Computer Science/Engineering (or related); basic verbal communication in English.
•3+ years software engineering experience with 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).
•1+ years building and shipping LLM/GenAI applications; knowledge with agentic workflows and tool/function calling (multi-agent systems a plus).
•Proven problem-solving skills; ability to develop creative solutions and work with technical and non-technical stakeholders.
•Practical RAG experience (retrieval, chunking, embeddings, vector databases such as Milvus/FAISS/Elastic/Pinecone) (RAG/MCP preferred).

Experience:3+ yearsGenAILLMAI

Education:Bachelor's

Skills:Problem-solvingLeadershipTeam collaborationCommunication

Languages:English

Tech Stack:PythonJavaGolangAWSAzureGCPDockerKubernetesLangChainLangGraphMilvusFAISSElasticPinecone

Company Brief

HSBC

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 1865

Glassdoor: 3.6

Website LinkedIn