Vice President, Senior AI Engineer in London

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. MUFG, a global leader in financial services, is seeking a Vice President Senior Artificial Intelligence Engineer to join their Corporate Technology team in London. This is an exceptional opportunity for you to play a pivotal role in embedding advanced AI technologies across the EMEA region, working within a highly supportive and inclusive environment that values collaboration, knowledge sharing, and professional growth.

As part of the Architecture, Middleware, Development (AMD) division, you will be at the forefront of designing, delivering, and supporting innovative AI solutions, including retrieval augmented generation (RAG) and agentic models that drive digital transformation and business value.

Join a globally respected financial institution with a strong commitment to inclusivity, diversity, and flexible working opportunities, where your expertise will be valued and nurtured.

Take ownership of high-impact AI projects across multiple business areas in EMEA, collaborating closely with stakeholders to deliver solutions that transform operations and realise measurable business value. Benefit from generous training opportunities, supportive leadership, and a culture that encourages coaching, mentoring, and continuous improvement, ensuring your professional development is always prioritised.

What you'll do:

• Collaborate extensively with Digital Transformation teams and business stakeholders to understand requirements, contribute to opportunity pipeline prioritisation, and define success measures for AI initiatives.
• Evaluate technology options, including models and platforms, making clear recommendations based on business value, cost efficiency, risk mitigation, strategic alignment, and long-term supportability.
• Adhere strictly to MUFG’s Systems Delivery Lifecycle (SDLC) process and governance standards by ensuring comprehensive planning, documentation, release readiness, risk management, and reporting for all AI projects.
• Provide leadership in establishing architectural principles, engineering standards, reusable patterns, and quality controls for AI solutions throughout the organisation.
• Deliver high-quality L1, L2, and L3 support across all services owned by the AI Engineering team to ensure operational excellence and reliability.
• Work closely with Digital Transformation teams and business owners to track outcomes, costs, and return on investment using evidence-based approaches to improve or scale solutions as needed.
• Ensure all activities comply fully with relevant policies, procedures, controls, including strict adherence to change management protocols and privileged production access management processes.
• Promote MUFG’s values-led culture by fostering an inclusive environment that strengthens business relationships and delivers solutions aligned with organisational goals.
• Coach and mentor AI Engineering colleagues to build strong engineering discipline within the team while proactively identifying new technologies and best practices for adoption.
• Establish robust peer networks across the business to share ideas, align delivery efforts globally, and drive successful outcomes through collaborative initiatives.

What you bring:

• Proven experience in delivering sophisticated AI solutions within large-scale enterprise environments, preferably regulated financial institutions.
• Exceptional interpersonal skills, able to communicate complex ideas simply, connect with stakeholders, build trust, share expertise, nurture talent, and promote a values-led culture.
• Degree-educated or possess equivalent experience demonstrating advanced technical proficiency.
• Extensive experience in technology delivery or operations within AI engineering, machine learning or data science environments - ideally in regulated industries such as financial services.
• Proven track record of building custom Generative AI solutions on Azure (preferred) or AWS platforms with deep familiarity in RAG architectures, vector databases, prompt engineering and model evaluation frameworks.
• Strong background in structured systems development lifecycle (SDLC), including Secure by Design (SbD), Architecture Review Board (ARB), Data Protection Impact Assessment (DPIA), CI/CD pipelines and related governance processes.
• Ability to define technical standards and reference patterns while documenting architectural decisions clearly, assessing alternative technologies/vendors/delivery approaches effectively.
• Comprehensive understanding of security/privacy/responsible AI/data governance/model risk considerations relevant to global financial organisations or equivalent regulated sectors.
• Excellent communication skills enabling you to simplify complex technical concepts for diverse audiences while engaging business stakeholders meaningfully.
• Experience defining measurable outcomes/return on investment for AI projects using evidence-based methods to assess impact/improve scalability.
• Expertise across orchestration/governance/development tools such as LangChain/LangGraph/Azure Foundry/Azure AI/MCP/Python/vector databases.
• Experience providing effective 1st/2nd/3rd line support across multiple business areas, ensuring operational reliability for mission-critical services.
• Degree-educated in Computer Science/Data Science or related discipline or equivalent practical experience demonstrating advanced technical proficiency.

What sets this company apart:

MUFG stands out as one of the world’s most respected financial institutions, a place where tradition meets forward-thinking innovation. The company is deeply committed to fostering an inclusive workplace that celebrates diversity at every level. Employees benefit from flexible working arrangements designed around their needs as well as generous training opportunities that encourage continuous learning. Supportive leadership ensures every team member feels valued while collaborative networks empower individuals to share ideas freely across departments. At MUFG you’ll find a nurturing environment where your contributions are recognised and where you can grow both personally and professionally alongside knowledgeable colleagues who share your passion for technology-driven transformation. The organisation’s dedication to responsible innovation means you’ll be part of projects that have real impact, not just within MUFG but across the wider industry. With its strong values-led culture focused on integrity, trust, supportiveness, inclusivity, growth, leadership, and network-building, the company offers an unparalleled platform for talented professionals seeking meaningful careers in artificial intelligence engineering within financial services.

What's next:

If you are ready to make a lasting impact at one of the world’s leading financial institutions—and want your expertise in artificial intelligence engineering to shape the future of digital transformation—this is your moment! Apply today by clicking on the link provided. Take the next step towards joining MUFG’s talented Corporate Technology team in London.

We are open to considering flexible working requests in line with organisational requirements. MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership. We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.