17 hours ago
London, United KingdomStaff+

Responsibilities

  • Design, deliver, and operate production-grade Generative AI solutions, including retrieval augmented generation and agentic architectures.
  • Collaborate with business stakeholders and Digital Transformation teams to capture requirements, prioritize opportunities, define success measures, and track outcomes, costs, and return on investment.
  • Evaluate models, platforms, technologies, and vendors based on business value, cost, risk, strategic alignment, and long-term supportability.
  • Develop AI solutions using RAG architectures, vector databases, prompt engineering, model evaluation frameworks, and responsible AI practices.
  • Provide L1, L2, and L3 support across AI Engineering services and ensure dependable service continuity.
  • Follow governance, security, privacy, regulatory, risk management, documentation, release readiness, and change management requirements.
  • Share expertise, promote best practices, and support collaboration and professional development across teams.

Requirements

  • Experience delivering or operating AI engineering, machine learning, or data science solutions, preferably in financial services or another regulated industry.
  • Hands-on experience building and deploying custom Generative AI solutions on Azure or AWS in production environments.
  • Expertise in RAG architectures, vector databases, prompt engineering, model evaluation, and responsible AI.
  • Knowledge of security protocols, data privacy, data governance, and model risk management in global financial organizations.
  • Proficiency in Python and familiarity with LangChain or LangGraph orchestration tools.
  • Knowledge of machine learning techniques, predictive analytics, agentic AI, and LLMOps or comparable operational practices.
  • Experience providing first-, second-, and third-line support across multiple business areas.
  • Ability to communicate complex technical concepts to business stakeholders and multidisciplinary teams.
  • Degree in Computer Science or Data Science, or equivalent practical experience, with the ability to adapt small or large language models for domain-specific contexts.

Benefits

  • Flexible working opportunities and consideration of flexible working requests in line with organizational requirements.
  • Generous pension contributions.
  • Ongoing training and professional development programs.
  • Supportive leadership, knowledge sharing, and an inclusive, diversity-focused workplace culture.

Tech Stack

Categories

Mitsubishi UFJ Financial Group

About Mitsubishi UFJ Financial Group

10,000+ employees

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.

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