Technical Delivery Lead: AI for Financial Crime

HSBC Group

Sheffield

On-site

GBP 40,000 - 75,000

Full time

13 days ago
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Job summary

HSBC is seeking a Technical Delivery Lead to drive production-grade AI and Agentic AI solutions for financial crime risk detection and investigations. You will lead cross-functional delivery, influence design decisions, and ensure compliant, timely releases in a regulated banking context.

Join HSBC’s Financial Crime Risk team to shape AI-driven investigations, collaborate across engineering, ML, product, and security, and deliver measurable outcomes with robust production support.

Qualifications

  • Delivery leadership for complex technology initiatives in regulated environments.

Responsibilities

  • Lead end-to-end delivery of production-grade AI and Agentic AI solutions for financial crime risk detection and investigation.
  • Contribute to solution design and build where needed, including LLM/agent workflow design, API/service integration, and evaluation harnesses.
  • Drive execution across engineering, ML engineering/data science, product, operations, compliance, model risk, architecture, cyber security, and technology controls.
  • Create clear decision packs with options and trade-offs across risk, cost, time, and value, and steer stakeholders to timely decisions.
  • Manage releases through build, test, deployment, and hypercare, while tracking benefits and outcomes.

Skills

Delivery leadership
Financial Crime domain experience
AI production delivery
Python
JVM
REST/gRPC APIs
Kubernetes
CI/CD
SQL
Data integration
Observability

Tools

Kubernetes
JVM
Python
REST
gRPC
CI/CD
SQL
Microservices
LLM
API

Job description

HSBC is seeking a Technical Delivery Lead to drive production-grade AI and Agentic AI solutions for financial crime risk detection and investigations. You will lead cross-functional delivery, influence design decisions, and ensure compliant, timely releases in a regulated banking context.

Join HSBC’s Financial Crime Risk team to shape AI-driven investigations, collaborate across engineering, ML, product, and security, and deliver measurable outcomes with robust production support.

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