Vice President, AI Engineering Team Lead

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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 globally respected financial institution, is seeking a Vice President AI Engineering Team Lead to join their Corporate Technology division in London. This pivotal role offers you the opportunity to shape and scale an AI Engineering team within the Architecture, Middleware, Design (AMD) department, driving the adoption of advanced AI solutions across multiple business areas. You will be at the forefront of embedding generative AI and machine learning technologies into the organisation, collaborating with digital transformation and business stakeholders to deliver impactful results. MUFG is renowned for its commitment to innovation, supportive leadership, and inclusive culture, providing flexible working opportunities and generous pension contributions. If you are passionate about leading teams, delivering high-quality technology solutions, and making a tangible impact in a regulated global environment, this is your chance to thrive.

• Join MUFG’s Corporate Technology division in London as a Vice President AI Engineering Team Lead and play a key role in shaping the future of AI within a global financial services leader.

• Lead and nurture a customer-centric team of AI Engineers, delivering cutting-edge generative AI and machine learning solutions that drive business value across multiple departments.

• Enjoy flexible working arrangements, generous pension contributions, ongoing training opportunities, and the support of knowledgeable colleagues in an inclusive and collaborative environment.

What you'll do:

As Vice President AI Engineering Team Lead at MUFG in London you will be entrusted with building a high-performing team dedicated to designing and supporting innovative AI solutions. Your day-to-day responsibilities will involve managing talented engineers while overseeing end-to-end delivery of generative AI models and machine learning applications tailored for diverse business needs. You will work collaboratively with digital transformation experts to translate complex requirements into actionable roadmaps that align with organisational goals. By establishing rigorous engineering standards and quality controls you will ensure every solution meets regulatory expectations while delivering measurable value. Your role also includes evaluating new technologies for strategic fit; managing project lifecycles from inception through release; providing multi-level technical support; defining success metrics; tracking outcomes; sharing knowledge across teams; and championing best practices throughout MUFG’s technology landscape. Success in this position requires not only technical expertise but also strong interpersonal skills—enabling you to foster collaboration among stakeholders while nurturing your team’s professional growth.

• Manage and develop a team of approximately five AI Engineers, fostering their growth and capability while setting clear objectives and priorities.

• Oversee the design, delivery, and ongoing support of high-quality AI solutions including generative AI models, RAG-based architectures, agentic systems, and machine learning applications.

• Collaborate closely with Digital Transformation teams and business stakeholders to understand requirements, shape opportunity pipelines, translate demand into practical roadmaps, and plan team capacity.

• Establish and evolve architectural principles, engineering standards, reusable patterns, and quality controls that underpin the development and operation of robust AI solutions.

• Evaluate technology options such as platforms, models, vendors, and delivery approaches based on business value, cost-effectiveness, risk management, strategic alignment, and long-term supportability.

• Manage the full team development lifecycle including backlog prioritisation, estimates, milestones tracking, risk assessment, issue resolution, dependencies management, documentation oversight, release readiness checks, and reporting.

• Provide comprehensive L1,L2,L3 support across all services owned by the team ensuring dependable service delivery to multiple business areas.

• Work with Digital Transformation partners to define success measures for projects and track outcomes using evidence-based methods to improve or scale solutions as appropriate.

• Stay abreast of emerging technologies and trends in AI engineering while providing expert guidance across products, disciplines, methodologies; ensure best practices are followed for maximum business impact.

• Collaborate across AMD’s Digital Delivery pillar to share expertise with other teams; proactively drive cross-team initiatives that enhance ways of working.

What you bring:

To excel as Vice President AI Engineering Team Lead at MUFG you will bring substantial experience managing engineering teams within complex organisations—demonstrating empathy for your colleagues’ development while maintaining high standards of accountability. Your expertise spans designing advanced generative AI systems leveraging RAG architectures/vector databases/model evaluation frameworks/LLMOps practices alongside deep familiarity with cloud platforms like Azure/AWS. You possess thorough knowledge of machine learning/application development lifecycles coupled with an ability to set technical standards/document architectural choices/evaluate competing technologies/vendors/delivery models. Your track record includes providing multi-tiered support across varied business domains—ensuring dependable operations even under pressure—and navigating security/privacy/governance/model risk issues inherent in regulated sectors such as financial services. Strong communication skills enable you to connect with senior leaders/present compelling strategies/build consensus around key recommendations while your analytical mindset supports evidence-driven outcome measurement/improvement initiatives. Academic credentials in computer/data science further reinforce your suitability for this influential role.

• Demonstrated experience leading engineering teams with proven ability to line manage direct reports effectively in a supportive manner.

• Extensive background designing production-grade generative AI solutions including RAG architectures, vector databases, model evaluation frameworks and LLMOps practices.

• Deep familiarity with Microsoft Azure or AWS AI platforms/services enabling you to deliver scalable cloud-based solutions.

• Comprehensive understanding of machine learning lifecycles as well as application development processes relevant to enterprise environments.

• Ability to define technical standards/reference patterns; document architectural decisions; assess alternative technologies/vendors/delivery approaches for optimal outcomes.

• Experience providing effective 1st/2nd/3rd line support across multiple business areas ensuring reliable service continuity.

• Sound knowledge of security/privacy/responsible AI/data governance/model risk considerations applicable within global financial services or regulated industries.

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