Vice President, Senior AI Engineer

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 with cross-functional teams to identify opportunities for AI-driven transformation; evaluating cutting-edge technologies; adhering to rigorous delivery lifecycle processes;

providing expert guidance on architectural standards; delivering reliable support services; tracking project outcomes; ensuring compliance; promoting an inclusive culture; coaching colleagues; embedding new disciplines; sharing expertise; building capability across teams; improving ways of working; driving cross-team initiatives; establishing strong peer networks; aligning delivery efforts globally, all while championing MUFG's values-led approach. Success in this role requires not only deep technical knowledge but also outstanding interpersonal skills that foster trustful relationships throughout the organisation.

• 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.
  To excel as Vice President Senior Artificial Intelligence Engineer at MUFG you will bring proven experience in delivering sophisticated AI solutions within large-scale enterprise environments, preferably regulated financial institutions. Your interpersonal skills are exceptional, you communicate complex ideas simply/connect with stakeholders/build trust/share expertise/nurture talent/promote values-led culture. You are 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…