3 months ago
Guangzhou, ChinaStaff+
Responsibilities
- Define and execute an organization-wide AI adoption roadmap for engineering use cases.
- Take AI-enabled engineering initiatives from prototype through production and establish reusable playbooks, templates, and golden paths.
- Design reference patterns for RAG, secure prompts, evaluation harnesses, model routing, guardrails, and AI platform capabilities.
- Lead technical decisions involving build versus buy, model selection, integration patterns, enterprise architecture, and cloud strategy.
- Embed data privacy, intellectual property, security, governance, and human-review controls into AI usage.
- Improve engineering productivity and quality through automation across CI/CD, code review, testing, release, and observability.
- Define and track engineering delivery and quality metrics such as lead time, change failure rate, MTTR, test coverage, and defect escape rate.
- Coach engineers and technical leads, run workshops and office hours, build communities of practice, and mentor senior engineers.
- Partner with engineering, product, architecture, operations, cybersecurity, risk, compliance, and legal stakeholders across multiple teams and regions.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related discipline; an MSc or PhD is preferred.
- 10+ years of software engineering experience, ideally in financial services or another regulated environment.
- Demonstrated success improving engineering capability and delivery outcomes through modern engineering practices, standards, and developer tooling.
- Practical experience applying AI/ML or GenAI in engineering contexts, including copilots, RAG, code intelligence, test generation, or incident triage.
- Experience designing secure, scalable platforms and APIs and familiarity with cloud-native patterns and CI/CD.
- Strong understanding of the SDLC, DevSecOps, observability, incident management, SRE practices, and production operations.
- Experience building internal developer platforms or golden paths is preferred.
- Familiarity with model evaluation, prompt engineering patterns, and guardrail techniques is preferred.
- Experience working in regulated environments and with risk and compliance stakeholders is preferred.
- Contributions to internal standards, reusable libraries, open source, research, patents, or conference presentations are preferred.
- Strong communication, coaching, stakeholder management, and influence-without-authority skills.
Categories
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