Director Group AI Platform Engineering
Listed on HSBC Holdings’s official careers site. Listed as of October 20, 2026. Check that it is still open and apply there.
Apply on HSBC Holdings’s careers site →Job description
The Opportunity
The CTO team is seeking a visionary, hands-on engineering leader to design, build, and scale HSBC Agent Platform as a core capability within the Group AI Platform. This role will deliver secure, reusable and high-performance platform services that enables team across the bank to build, deploy and operate agentic and generative AI solutions consistently, overing orchestration, tool integration, memory, evaluation and governance-by-design.
You’ll set the technical direction, drive reliability and adoption at scale and ensure the platform meets enterprise standard for performance, resilience, security and controls.
What you’ll do
- Define the long-term technical vision and roadmap for the Agent platform in collaboration with product management team
- Lead the architecture, design, and implementation of a robust, scalable, and high-performance Agent platform
- Stay at the cutting edge of AI and agent movement in the industry, and adapt the agent platform to leverage the technical evolving in the industry
- Work closely with technology teams across business lines to understand their requirements and ensure the platform empowers them to build agents efficiently
- Integrate agent platform as part of the Group AI Platform which spans on-premise and cloud-based infrastructure
- Build and manage a high-performing global team of ML SMEs and full stack engineers, to ensure the AI capabilities are built fit for purpose with high quality
- Establish engineering best practices, including continuous integration / continuous delivery pipeline workflows, automation testing framework, and monitoring systems for AI applications, and ensure continuous improvement of engineering practices
- Implement observability, reliability, and performance optimizations for agent platform in production
- Ensure compliance to architecture principle, technical standards, security requirements and software development life cycle controls
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related subject area
- 15+ of experience in developing and implementing software solutions, with 5+ years in technical leadership roles.
- Hands-on experience in design and development of agentic AI solutions
- Proven and deep experience in designing, building, and delivering a large-scale Agent platform
- Deep understanding of the agent paradigm, including agent planning, short-term and long-term memory, tool use, agent orchestration and agent evaluation
- Experience with high code and low code agent platform
- Strong experience in designing and building scalable and resilient platform
- Proven ability in building and managing high performing teams of AI SME and full stack engineers
- Solid hands-on development skills in programming language such as Java, Python, and CI/CD tools, automation testing, and observability
- Proficiency in effective stakeholder management, and capable of effectively articulating AI capabilities, and influencing both business and technology leaders
- Experience working in Agile development teams with excellent collaboration skills
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