Senior AI Engineer - Centre of Excellence, Director

Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.

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GMEO (Global Markets Engineering Office) provides engineering capability, delivery discipline and scalable technology enablement for Global Markets. Global Markets AI is the specialist team responsible for AI strategy, engineering standards, reusable delivery patterns and responsible AI adoption across Global Markets.

The Global Markets AI Centre of Excellence provides the platform, standards, controls and enablement model that allow applied AI adoption to scale safely across Global Markets. Its role is to move Global Markets from AI experimentation to a governed operating model where applied AI becomes part of how every function works, controls, documents and improves.

The Centre of Excellence owns the enterprise AI delivery framework for Global Markets, including AIQ platform capability, enterprise AI architecture, reusable components, model and prompt governance, release controls, AI inventory, training, certification and delivery standards. The CoE does not build every use case. It enables scale, certifies builders, governs release, maintains standards and directly delivers enterprise-grade or high-risk AI capabilities.

MAIN PURPOSE OF

THE ROLE The GMEO AI Engineer - Centre of Excellence is a Lane 3 role responsible for designing, governing and delivering enterprise-grade AI capability for Global Markets AI Lane 3 covers high-risk, cross-function, model-risk, regulatory-impact or mission-critical AI capabilities that require full enterprise controls, architecture review, security review, release governance and lifecycle management.

The role will help establish AIQ as the governed route from business idea to ope rationalised IT, supporting intake, risk classification, lane routing, build, test, validation, release, hosting, monitoring and lifecycle management for AI-enabled solutions.

The role will define and maintain the technical standards, patterns, guardrails and reusable components that enable Lane 1 citizen-led AI tools and Lane 2 function-built AI tools to scale safely, while directly engineering Lane 3 enterprise capabilities where complexity, risk or cross-function dependency requires CoE ownership.

The role will support the strategic objective of improving Net Operating Profit through the ABC Plan for AI:
Alpha revenue enablement, Beta/Budget cost reduction and Controls-led governance, resilience and evidence automation.

KEY RESPONSIBILITIES Lead the engineering design and delivery of Lane 3 enterprise AI capabilities for Global Markets AI, ensuring solutions meet full enterprise architecture, security, governance and operational standards.

Define, maintain and continuously improve AIQ engineering standards, reusable patterns, control requirements and reference architectures for Global Markets AI adoption.

Own or support technical governance for AI intake, risk classification, lane routing, architecture review, threat modelling, model and prompt evaluation, release approval and production monitoring.

Build reusable AI platform components, including RAG frameworks, agentic workflow patterns, connector patterns, evaluation harnesses, logging, audit trails, evidence packs and deployment templates.

Partner with Lane 2 Function Aligned AI Engineers to review designs, unblock engineering issues, promote reuse and ensure local function-built solutions remain aligned to CoE standards.

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