Discover Your Opportunity with Mitsubishi UFJ Financial Group (MUFG)

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.

With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas, and collaborate toward greater innovation, speed, and agility. This means investing in talent, technologies, and tools that empower you to own your career.

Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.

Role Overview

MUFG is seeking a Senior Artificial Intelligence Engineer for its Global Markets Engineering Office (GMEO) Centre of Excellence in London. This is an exceptional opportunity to join a world-leading financial institution at the forefront of responsible AI adoption, where your expertise will directly shape enterprise-grade solutions across global markets. You will be part of a specialist team that sets the standards, controls, and enablement models for applied AI, moving the organisation from experimentation to operational excellence.

MUFG offers a supportive and inclusive environment, with access to cutting-edge technology platforms, collaborative networks, and opportunities for professional growth. The Centre of Excellence empowers you to work alongside diverse stakeholders—Technology, Risk, Compliance, Legal, Finance, Operations, and Front Office—ensuring safe, auditable, and resilient AI delivery. If you are passionate about advancing AI in regulated environments and thrive on communal achievement, this role provides the platform to make a lasting impact.

What You'll Do

As a Senior Artificial Intelligence Engineer – Centre of Excellence at MUFG in London, you will play a pivotal role in shaping the future of applied AI across global financial markets. Your day-to-day responsibilities will involve:

• Leading the engineering design and delivery of high-risk, cross-functional enterprise AI capabilities for Global Markets outside Japan, ensuring all solutions meet rigorous architecture, security, governance, and operational standards.
• Defining, maintaining, and continuously improving engineering standards, reusable patterns, control requirements, and reference architectures for responsible AI adoption within Global Markets.
• Owning or supporting technical governance processes including intake management, risk classification, lane routing, architecture review, threat modelling, model evaluation, release approval, and production monitoring.
• Building reusable platform components such as retrieval-augmented generation frameworks (RAG), agentic workflow patterns, connector templates, evaluation harnesses, audit trails, and deployment packs.
• Partnering with function-aligned engineers to review designs, resolve engineering challenges collaboratively, promote reuse of components, and ensure local solutions remain aligned with Centre of Excellence standards.
• Enabling citizen-led delivery by providing safe templates, guardrails, training materials, certification processes, and controlled runtime patterns for distributed teams.
• Maintaining a high-quality inventory of production AI solutions with clear ownership documentation, data lineage tracking, access control protocols, and robust monitoring systems.
• Designing integrations between AI platforms and enterprise tools/data sources—including entitlement controls, DLP mechanisms, audit logging features, and operational resilience requirements.
• Engaging regularly with Technology, Cybersecurity, Risk Management, Compliance, Legal Affairs, Finance Operations, and Front Office stakeholders to ensure all AI adoption is safe, supportable, and aligned with regulatory obligations.
• Ensuring every AI-enabled solution includes human oversight mechanisms such as explainability features, validation/testing routines, exception handling procedures, and evidence capture proportional to risk.