What youll do :

- Define the long-term technical vision and roadmap for the Agent Framework in collaboration with the product management team.

- Lead the architecture, design, and implementation of a robust, scalable, and high-performance Agent Framework.

- Stay at the cutting edge of AI and agent movement in the industry, and adapt the agent framework to leverage the technical evolution in the industry.

- Work closely with technology teams across business lines to understand their requirements and ensure the framework empowers them to build agents efficiently.

- Integrate agent framework into our 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 optimisations for the agent framework in production.

- Ensure compliance with architecture principles, technical standards, security requirements, and software development life cycle controls.

What you will need to succeed in the role :

- B.S./M.S. degree in Computer Science, Software Engineering, or a related subject area.

- 15+ years of experience in developing and implementing software solutions, with 5+ years in a technical leadership role.

- Hands-on experience in design and development of agentic AI solutions.

- Proven and deep experience in designing, building, and delivering a large-scale Agent Framework.

- 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 agent frameworks and low-code agent frameworks.

- Strong experience in designing and building scalable and resilient platforms.

- Proven ability in building and managing high-performing teams of AI SME and full-stack engineers.

- Solid hands-on development skills in programming languages 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.