Vice President, Senior AI Engineer

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, 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.

Key Responsibilities

• 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

As a Vice President Senior Artificial Intelligence Engineer at MUFG in London, you will immerse yourself in a dynamic environment where your technical acumen is matched by your ability to connect with stakeholders across the EMEA region. Your day-to-day responsibilities will involve:

• Collaborating extensively with Digital Transformation teams and business stakeholders to understand requirements, contribute to opportunity pipeline prioritisation, and define success measures for AI initiatives.
• Evaluating technology options, including models and platforms, making clear recommendations based on business value, cost efficiency, risk mitigation, strategic alignment, and long-term supportability.
• Adhering 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.
• Providing leadership in establishing architectural principles, engineering standards, reusable patterns, and quality controls for AI solutions throughout the organisation.
• Delivering high-quality L1, L2, and L3 support across all services owned by the AI Engineering team to ensure operational excellence and reliability.
• Working 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.
• Ensuring all activities comply fully with relevant policies, procedures, controls, including strict adherence to change management protocols and privileged production access management processes.
• Promoting MUFG’s values-led culture by fostering an inclusive environment that strengthens business relationships and delivers solutions aligned with organisational goals.
• Coaching and mentoring AI Engineering colleagues to build strong engineering discipline within the team while proactively identifying new technologies and best practices for adoption.
• Establishing robust peer networks across the business to share ideas, align delivery efforts globally, and drive successful outcomes through collaborative initiatives.