Global Payments Solutions (GPS) - AI COE Delivery Lead
HSBC · Singapore
Some careers have more impact than others.
If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.
Our GCIO organisation plays a critical role for the bank. This team partners with our businesses to build the platforms, systems, and products that our customers use every day. This team keeps people’s money and data safe, and is at the forefront of driving innovation for our businesses, customers, and colleagues.
We are currently seeking a high-calibre professional to join our team as a Global Payments Solutions (GPS) - AI COE Delivery Lead.
In this role, you will:
- Lead AI COE(Centre of Excellence) delivery team through the full lifecycle: discovery, use-case assessment, experimentation, prioritization, delivery, launch, adoption and continuous improvement.
- Own the GenAI product vision, strategy and roadmap by identifying high-value use cases, translating emerging GenAI capabilities into practical enterprise products, and enabling AI products based in Singapore.
- Define and priorities the GenAI backlog, balancing colleague value, model capability, user experience, technical dependencies, cost, operational resilience and risk.
- Work closely with engineering, data, architecture, product, operations and machine-learning specialists to shape requirements and deliver solutions using technologies such as LLM, Agentic AI and AI evaluation.
- Embed responsible GenAI controls and measurable outcomes, addressing model safety, data privacy, cybersecurity, confidentiality, data leakage, inaccurate outputs, bias, misuse and inappropriate access.
- Translate strategic objectives into clear delivery roadmaps, milestones, outcomes and success measures and define and improve delivery methodologies, templates, controls and reporting for AI initiatives.
- Stakeholder and cross-functional leadership: Build effective working relationships with business sponsors, product owners, engineering teams, data scientists, architects and control functions. Coordinate collaboration across business, technology and regional teams. Facilitate governance forums, steering committees, design reviews and delivery checkpoints.
- Ensure initiatives comply with applicable AI, data, information security, privacy, legal and regulatory requirements. Embed appropriate controls covering model risk, explainability, fairness, human oversight, data quality, monitoring and operational resilience.
- Establish consistent approaches for use-case assessment, value tracking, experimentation, testing and production readiness.
To be successful you will need:
- Around 8 years of experience delivering enterprise software or platform solutions with around 3+ years in senior engineering leadership roles, especially 2+ years in hands-on Agentic AI development preferably with experience in establishing or operating an AI Centre of Excellence.
- Deep expertise in LLMs and agent architectures, including task decomposition and planning, tool use or function calling patterns, context and session management, memory design, execution loops and exception handling.
- Hands on experience designing & implementing enterprise RAG, GraphRAG or knowledge graph solutions for real-world application services.
- Proven Experience in building and running large-scale, low-latency, highly available resilient platforms and shared services including API gateway or service gateway capability with experience in designing scalable, maintainable high-performance complex systems.
- Experience in building secure-by-design delivery in regulated environments with clear understanding of non-functional requirements - security, resilience, data protection and auditability.
- Experience working in Agile delivery models with strong collaboration and execution discipline with significant end-to-end product ownership experience, delivering enterprise AI products in a complex organization.
- Strong stakeholder management and ability to influence across technology, business, infrastructure and control functions with the ability to clearly articulate AI capabilities and shape/influence decisions at senior level with ability to align priorities, integrate requirements and unblock delivery across regions and time zones.
- Bachelor’s or Master’s degree in computer science, Software Engineering, or a related discipline ; preferably a background in financial services or another highly regulated industry.
You’ll achieve more when you join HSBC.
HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.
Issued by Hongkong & Shanghai Banking Co