Vice President, Senior AI Engineer
Mitsubishi UFJ Financial Group3 days ago
London, United KingdomStaff+
Responsibilities
- Identify and prioritise AI transformation opportunities with Digital Transformation teams and business stakeholders.
- Design, deliver, and support Generative AI solutions, including retrieval augmented generation and agentic models.
- Evaluate AI models, platforms, vendors, and delivery approaches based on business value, cost, risk, strategic alignment, and supportability.
- Follow MUFG’s Systems Delivery Lifecycle and governance requirements, including planning, documentation, release readiness, risk management, and reporting.
- Define architectural principles, engineering standards, reusable patterns, reference architectures, and quality controls for AI solutions.
- Provide L1, L2, and L3 support for AI Engineering services and maintain operational reliability.
- Track project outcomes, costs, return on investment, scalability, and measurable business impact.
- Ensure compliance with policies, change management protocols, privileged production access processes, security, privacy, responsible AI, and data governance requirements.
- Coach and mentor AI Engineering colleagues and promote engineering discipline, knowledge sharing, and continuous improvement.
- Build peer networks, align delivery efforts globally, and lead cross-team initiatives across the organisation.
Requirements
- Degree in Computer Science, Data Science, or a related discipline, or equivalent practical experience.
- Extensive experience in AI engineering, machine learning, data science, technology delivery, or operations within enterprise environments, preferably regulated financial services.
- Proven experience building custom Generative AI solutions on Azure or AWS.
- Deep familiarity with RAG architectures, vector databases, prompt engineering, and model evaluation frameworks.
- Strong understanding of structured systems development lifecycle practices, Secure by Design, Architecture Review Board processes, Data Protection Impact Assessments, CI/CD pipelines, and governance.
- Ability to define technical standards and reference patterns, document architectural decisions, and assess alternative technologies, vendors, and delivery approaches.
- Understanding of security, privacy, responsible AI, data governance, and model risk in global financial or similarly regulated organisations.
- Experience defining measurable outcomes and return on investment for AI projects using evidence-based methods.
- Expertise with LangChain, LangGraph, Azure Foundry, Azure AI, MCP, Python, and vector databases.
- Experience providing first-, second-, and third-line support across multiple business areas.
- Excellent communication, stakeholder engagement, coaching, mentoring, and relationship-building skills.
Benefits
- Flexible working arrangements and consideration of flexible working requests in line with organisational requirements.
- Generous training opportunities and support for continuous professional development.
- Supportive leadership, coaching, mentoring, and collaborative peer networks.
- Inclusive workplace committed to equality, diversity, and non-discrimination.
- Opportunity to work on high-impact AI transformation projects across EMEA within a globally respected financial institution.
- Role based in London within MUFG’s Corporate Technology team.
Categories
About Mitsubishi UFJ Financial Group
Mitsubishi UFJ Financial Group is a publicly traded Japanese banking group headquartered in Chiyoda, Tokyo, offering commercial and investment banking, trust banking, securities, credit cards, consumer finance, asset management, and leasing to consumers, corporations, and institutions. It generates revenue from lending interest, transaction fees, and investment services. Formed in 2005 through the merger of Mitsubishi Tokyo Financial Group and UFJ Holdings, MUFG operates globally across the Americas, EMEA, and Asia-Pacific markets.