MUFG
AVP, AI Engineer

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Discover Your Opportunity with Mitsubishi UFJ Financial Group (MUFG)
Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
Role Overview
MUFG, a globally respected financial institution, is seeking an Associate Vice President AI Engineer to join their Corporate Technology team in London. This role offers you the opportunity to work at the forefront of AI innovation within a supportive and inclusive environment, where your expertise will help shape the future of digital delivery across EMEA. You will be part of a knowledgeable and dependable team that values collaboration, training opportunities, and flexible working arrangements.
As an AVP AI Engineer, you will play a pivotal role in designing, delivering, and supporting advanced Generative AI solutions, including retrieval augmented generation (RAG) and agentic architectures, while contributing to MUFG’s commitment to responsible technology and business value. If you are passionate about embedding AI into organisational processes and driving its adoption, this is your chance to make a meaningful impact within a company renowned for its generous pension contributions, supportive leadership, and dedication to professional growth.
What You'll Do
- Work collaboratively with business stakeholders and Digital Transformation teams to design, deliver, and operate high-quality Generative AI solutions in a regulated financial services environment.
- Benefit from flexible working opportunities, generous pension contributions, ongoing training programmes, and a culture that values inclusivity, knowledge sharing, and supportive leadership.
Key Responsibilities
- Collaborate closely with Digital Transformation (DX&T) teams and business stakeholders to understand requirements, prioritise opportunity pipelines, and define success measures for AI initiatives.
- Investigate technology options including models and platforms, reporting findings based on business value, cost analysis, risk assessment, strategic alignment, and long-term supportability.
- Follow MUFG’s Systems Delivery Lifecycle (SDLC) process as well as team governance protocols by ensuring thorough planning, documentation, release readiness, risk management, and regular reporting.
- Adhere strictly to architectural principles, engineering standards, best practices, and quality controls when developing AI solutions for the organisation.
- Provide comprehensive L1, L2, and L3 support across all services owned by the AI Engineering team to ensure operational excellence.
- 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 appropriate.
- Ensure all activities comply fully with relevant policies, procedures, regulatory requirements, and internal controls while maintaining strict adherence to change management processes.
- Embrace MUFG’s values-led culture by promoting inclusivity and diversity within the team while helping build a delivery-driven environment that strengthens business relationships.
- Proactively identify new AI technologies and champion best practices in disciplines such as RAG architectures and agentic systems.
- Collaborate with colleagues across departments to share expertise, enhance ways of working together, and provide support for others’ development.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What You Bring
- Demonstrated experience in technology delivery or operations within AI engineering, machine learning or data science environments, preferably in financial services or other regulated industries.
- Proven ability in building custom Generative AI solutions on Azure (preferred) or AWS platforms with hands-on experience in production-grade deployments.
- Expertise in designing RAG architectures including vector databases, prompt engineering techniques, model evaluation frameworks and responsible AI practices.
- Ability to follow technical standards rigorously while documenting architectural decisions clearly; skilled at assessing alternative technologies or vendors for optimal delivery approaches.
- Comprehensive understanding of security protocols, privacy considerations, data governance principles and model risk management relevant to global financial organisations.
- Excellent communication skills enabling you to simplify complex technical concepts for diverse audiences including business stakeholders.
- Familiarity with orchestration tools such as LangChain/LangGraph plus proficiency in Python programming language for developing scalable AI applications.
- Experience providing effective 1st-, 2nd-, and 3rd-line support across multiple business areas ensuring dependable service continuity.
- Knowledge of machine learning techniques including predictive analytics or agentic AI; ability to design LLMOps or similar operational practices for large-scale deployments.
- Degree-educated in Computer Science or Data Science or equivalent practical experience with proven ability to adapt small/large language models (SML/LLM) for domain-specific contexts.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
What Sets This Company Apart
- MUFG stands out as one of the world’s leading financial institutions renowned for its commitment to integrity, dependability and inclusive growth leadership.
- The organisation fosters a supportive environment where employees are encouraged to collaborate openly, sharing knowledge across teams while benefiting from flexible working opportunities tailored around individual needs.
- MUFG invests heavily in professional development through ongoing training programmes designed to nurture talent at every stage of your career journey.
- Generous pension contributions reflect their dedication not only towards employee wellbeing but also long-term financial security.
- The company’s values-led culture places emphasis on diversity, ensuring everyone feels welcome regardless of background and promotes communal achievement through shared goals rather than individual competition.
- Supportive leadership is embedded throughout the hierarchy; managers actively encourage personal growth while providing guidance during challenging projects.
- At MUFG you’ll find yourself surrounded by knowledgeable colleagues who value teamwork above all else, making it an ideal place for those seeking both professional advancement and genuine kinship within their workplace.
What's Next
If you are ready to take your career forward by joining a collaborative team at MUFG where your expertise will help shape the future of artificial intelligence in financial services—apply now!
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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location