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MUFG

Global bank offering diversified financial services

Vice President – Senior AI Engineer

AI Application EngineeringUpdated on Nov 11
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • 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 or AWS platforms, with deep familiarity in retrieval augmented generation architectures, vector databases, prompt engineering, and model evaluation frameworks.
  • Strong background in structured systems development lifecycle, including Secure by Design, Architecture Review Board, Data Protection Impact Assessment, continuous integration and continuous delivery pipelines, and related governance processes.
  • Ability to define technical standards and reference patterns, document architectural decisions clearly, and assess alternative technologies, vendors, and delivery approaches effectively.
  • Comprehensive understanding of security, privacy, responsible AI, data governance, and model risk considerations relevant to global financial organisations or equivalent regulated sectors.
  • Excellent communication skills to simplify complex technical concepts for diverse audiences and engage business stakeholders meaningfully.
  • Experience defining measurable outcomes and return on investment for AI projects, using evidence-based methods to assess impact and improve scalability.
  • Expertise across orchestration, governance, and development tools such as LangChain, LangGraph, Azure Foundry, Azure AI, MCP, Python, and vector databases.
  • Experience providing effective first-, second-, and third-line support across multiple business areas, ensuring operational reliability for mission-critical services.
  • Degree-educated in Computer Science, Data Science, or a related discipline, or equivalent practical experience demonstrating advanced technical proficiency.

Responsibilities

  • Collaborate 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, and recommend options based on business value, cost efficiency, risk mitigation, strategic alignment, and long-term supportability.
  • Follow MUFG's Systems Delivery Lifecycle process and governance standards, ensuring comprehensive planning, documentation, release readiness, risk management, and reporting for all AI projects.
  • Establish architectural principles, engineering standards, reusable patterns, and quality controls for AI solutions throughout the organisation.
  • Deliver high-quality first-, second-, and third-line support across services owned by the AI Engineering team to ensure operational excellence and reliability.
  • Work 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 activities comply with relevant policies, procedures, and controls, including change management protocols and privileged production access management processes.
  • Foster 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, and identify new technologies and best practices for adoption.
  • Establish peer networks across the business to share ideas, align delivery efforts globally, and drive outcomes through collaborative initiatives.

Desired Qualifications

  • Experience delivering sophisticated AI solutions within large-scale enterprise environments, preferably in regulated financial institutions.
  • Experience building custom Generative AI solutions on Azure; AWS is also identified as a possible platform.

About the Company

MUFG

Global bank offering diversified financial services

MUFG is a major global financial group that provides a wide range of banking and financial services, including commercial and trust banking, securities, credit cards, and asset management. Its products are delivered through a network of domestic and international banks, digital platforms, and financial advisers, offering loans, deposits, payments, investment services, and asset management. MUFG stands out due to its size and scale as one of the world’s largest financial groups, its diversified offerings across banking and securities, and its strong international presence (notably expanding in the U.S. after investing in Morgan Stanley in 2008). Its goal is to support economic growth worldwide by expanding its global footprint and promoting sustainable finance.

Company size
10,001+
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
2006

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