At a Glance
- Tasks: Lead AI transformation projects and design scalable AI systems for major financial institutions.
- Company: Join a leading professional services organisation at the forefront of AI innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with leadership opportunities and collaboration across diverse teams.
- Why this job: Make a real impact in the banking sector with cutting-edge AI technologies.
- Qualifications: Strong background in software or data engineering with applied AI experience.
The predicted salary is between 81000 - 99000 £ per year.
A leading professional services organisation is seeking a Senior Manager – AI Engineer to join its AI & Data Financial Services practice, focused on delivering large-scale AI transformation across Banking.
This role sits at the forefront of enterprise AI engineering, architecture, and delivery leadership, helping major financial institutions design, build, and operate scalable AI systems that modernise core business processes. You will operate across the full AI lifecycle—from strategy and architecture through to production deployment and optimisation of agentic AI systems—driving measurable business value through advanced machine learning and generative AI. This is a senior leadership role combining hands-on technical credibility with programme leadership, stakeholder influence, and team development.
Key Responsibilities
- Translate senior stakeholder vision into AI transformation strategies, architecture, and delivery roadmaps
- Lead and oversee multi-disciplinary AI engineering teams and workstreams
- Design and deliver enterprise-scale AI systems, including agentic and GenAI solutions
- Collaborate with architects, data scientists, DevOps, and business stakeholders to define end-to-end solutions
- Evaluate and select AI technologies (open-source and commercial) and define enterprise deployment patterns
- Lead design of API-based AI services and scalable backend systems (e.g. FastAPI)
- Ensure robust integration of AI systems into complex banking and capital markets environments
- Establish and govern evaluation frameworks for AI and agent-based systems
- Oversee CI/CD, MLOps, and LLMOps practices across delivery teams
- Work closely with security, risk, and compliance teams to ensure ethical and regulated AI delivery
- Own and contribute to architecture reviews, governance forums, and design approvals
- Engage senior client stakeholders and shape proposals, bids, and AI solution strategies
- Lead capability development across teams, mentoring senior and junior engineers
Required Skills & Experience
- Strong background in software engineering or data engineering with applied AI (Python, SQL)
- Proven experience delivering AI/ML and generative AI systems in production
- Deep understanding of LLMs, including: Embeddings, Retrieval-Augmented Generation (RAG)
- Demonstrated experience building and scaling agentic AI systems
- Strong experience with AI system design, architecture, and distributed systems
- Expertise in API-based backend development (e.g. FastAPI or similar)
- Experience with vector databases (e.g. Pinecone, Chroma)
- Experience with agent frameworks (e.g. LangChain, LangGraph, or similar)
- Strong understanding of evaluation frameworks for AI/agent systems
- Experience implementing CI/CD pipelines and modern engineering practices
- Exposure to MLOps / LLMOps principles
- Experience working with at least one cloud hyperscaler (AWS, Azure, GCP, or Databricks)
- Proven ability to lead technical programmes and cross-functional teams
- Strong stakeholder management and client-facing leadership capability
- Experience in Banking or Capital Markets (strong preference)
- Exposure to MCP (Model Context Protocol)
- Experience operating in regulated enterprise environments
- Ability to contribute to ROI modelling, business cases, and AI value articulation
- Experience contributing to bids, proposals, and go-to-market activity
Senior AI Engineering Leader for Enterprise GenAI in London employer: MBN Solutions
MBN Solutions is an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. As a member of our early-stage startup, you'll enjoy a collaborative culture that fosters creativity and professional growth, alongside opportunities to work on cutting-edge AI technologies that simulate human behaviour. With a focus on employee development and a commitment to work-life balance, we provide a unique platform for you to make a meaningful impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineering Leader for Enterprise GenAI in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at MBN Solutions or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to MBN Solutions.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like MBN Solutions.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like MBN Solutions that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior AI Engineering Leader for Enterprise GenAI in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at MBN Solutions.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at MBN Solutions and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at MBN Solutions
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If MBN Solutions uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
