MUFG
AI Engineer, VP
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AI Engineer Opportunity at MUFG
About the Role
MUFG is seeking a highly skilled AI Engineer to join their London-based Global Markets Engineering Office. This unique opportunity places you at the heart of responsible AI adoption within one of the world’s leading financial institutions, where your expertise will directly impact productivity, client service, control effectiveness and operational resilience.
Responsibilities
As an AI Engineer at MUFG in London, you will play a pivotal role in accelerating responsible AI adoption. Your day-to-day activities will involve collaborating with diverse teams across the organisation to identify high-impact use cases for AI that directly link to client service enhancement or operational efficiency.
- Prioritise and deliver high-value AI opportunities by focusing on measurable improvements in productivity, quality, risk management, control effectiveness and client service outcomes.
- Partner with leaders and process owners to assess current workflows, identify pain points, quantify benefits, define success measures and create practical delivery roadmaps for AI integration.
- Build, configure and integrate AI solutions using approved enterprise platforms, tools and patterns such as generative AI, agentic workflows, retrieval-augmented generation (RAG), prompt orchestration and workflow automation.
- Ensure all solutions comply with MUFG's rigorous AI governance framework including model risk management, information security protocols, data privacy requirements, records management policies and regulatory expectations.
- Design robust controls into AI-enabled processes including human-in-the-loop review mechanisms, explainability features, validation procedures, testing strategies, monitoring systems, exception handling protocols and comprehensive audit trails.
- Collaborate extensively with Global Markets AI and the AI Centre of Excellence (CoE) to reuse common components, contribute reusable patterns and ensure local delivery remains aligned with enterprise architecture standards.
- Work alongside technology teams, data specialists, cyber security experts, legal advisors, compliance officers and operational staff to obtain necessary approvals ensuring solutions are supportable, secure and scalable.
- Deliver rapid prototypes for quick wins while ensuring production solutions meet stringent engineering requirements as well as governance and control expectations.
- Track post-implementation benefits including run-rate savings, productivity uplift metrics, quality improvement indicators, cycle-time reduction statistics, risk mitigation results and user engagement levels.
- Provide comprehensive training sessions, clear documentation and practical guidance to users so that AI tools are used responsibly, consistently and effectively.
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Requirements
To excel as an AI Engineer at MUFG you will bring proven experience delivering complex AI automation analytics or workflow solutions within regulated financial services environments. Your technical proficiency spans generative models agentic workflows Python development SQL databases API integrations cloud architectures CI/CD pipelines secure coding practices testing methodologies and documentation standards. Beyond technical skills your interpersonal abilities are crucial—you must communicate effectively across functions engage senior stakeholders explain risks opportunities clearly collaborate with diverse teams manage workloads accurately under pressure demonstrate empathy sensitivity when guiding users through new technologies. Your structured approach ensures prioritisation according to business value risk constraints while your attention to detail guarantees accuracy resilience even during challenging projects.
- Demonstrated experience designing building or implementing AI generative AI automation analytics or data-driven workflow solutions within corporate or financial services environments.
- Proven ability to translate business requirements into engineered solutions including process analysis solution design build testing deployment and adoption support.
- Experience working with governance risk compliance information security data privacy or control requirements in regulated environments.
- Strong understanding of generative AI concepts including prompt design model selection retrieval-augmented generation embeddings evaluation hallucination risk guardrails and responsible AI controls.
- Ability to design implement agentic or semi-agentic workflows incorporating human oversight logging validation exception handling mechanisms.
- Advanced Python development skills enabling you to build maintainable tested documented code suitable for enterprise applications.
- SQL database experience including data extraction transformation validation integration across multiple platforms.
- Expertise in APIs workflow integration secure system-to-system connectivity supporting scalable enterprise solutions.
- Practical understanding of cloud-based programming architecture particularly Azure; AWS experience is beneficial.
- Experience with enterprise data platforms such as Snowflake or equivalent supporting large-scale data operations.
- Use of industry-standard CI/CD software delivery tools such as Git TeamCity deployment automation issue-tracking platforms ensuring efficient project execution.
- Understanding of secure software development practices including data classification access control secrets management auditability protocols.
- Ability to define test plans acceptance criteria for AI-enabled solutions covering functional regression model prompt evaluation control testing aspects.
- Excellent communication skills enabling you to convey technical concepts clearly convert functional problems into practical solution designs for non-technical stakeholders.
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What Sets MUFG Apart
MUFG stands out as one of the world’s most respected financial institutions renowned for its commitment to responsible innovation robust engineering standards inclusive workplace culture supportive leadership flexible working opportunities generous pension contributions ongoing training programmes knowledge sharing initiatives dependable networks collaborative teams growth-focused leadership approaches transparent governance structures. Employees benefit from being part of a global organisation that values diversity encourages professional development fosters inter-personal connections nurtures talent through continuous learning provides access to state-of-the-art technology platforms ensures alignment with industry best practices maintains high ethical standards promotes warm welcoming environment where every voice is heard contributions recognised teamwork celebrated achievements shared collectively.
What's Next
If you are ready to make a significant impact by advancing responsible AI adoption at MUFG apply now to join this collaborative knowledgeable team!
- Apply today by clicking on the link provided.
- We are open to considering flexible working requests in line with organisational requirements.
- MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.
- We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.
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