About The Role

Define, establish, and continuously evolve the Agentic AI Center of Excellence (CoE) charter, operating model, and multi-year roadmap in alignment with enterprise architecture and IT strategy.
Develop and maintain enterprise-wide reference architectures, design patterns, and technical standards for Agentic AI, LLM orchestration, multi-agent systems, and intelligent automation.
Partner with the Head of Enterprise Architecture to embed Agentic AI capabilities into the broader enterprise architecture blueprint, technology roadmap, and IT governance frameworks.
Evaluate, select, and standardise Agentic AI platforms, LLM providers, orchestration tools, and supporting infrastructure across the enterprise.
Define and enforce AI governance, risk management, and responsible AI guidelines for Agentic AI initiatives, ensuring compliance with regulatory and corporate policy requirements.
Serve as the enterprise-wide advisory and architecture consulting function for business units and IT teams designing, building, or deploying Agentic AI solutions.
Lead architecture reviews and approve Agentic AI solution designs for scalability, security, maintainability, and alignment to enterprise standards.
Build and curate reusable Agentic AI frameworks, accelerators, reference implementations, and documentation to accelerate delivery across teams.
Drive capability building, training programs, and a community of practice to grow Agentic AI maturity across the organisation.
Track, measure, and report on CoE adoption, business value realisation, and technology maturity metrics to enterprise leadership.
Coordinate with the Lead of Agentic AI (delivery team), AI-COE (CBS), IT Security, Infrastructure, and Data teams to ensure platform readiness and secure, scalable enablement of Agentic AI.
Represent Agentic AI in enterprise architecture review boards, technology steering committees, and IT governance forums.
Scan the external market for emerging Agentic AI technologies, vendors, and best practices; advise the Head of Enterprise Architecture and senior leadership on strategic opportunities and risks.
Support the development of enterprise AI policies, ethical guidelines, and change management strategies for Agentic AI adoption.