At a Glance
- Tasks: Lead AI transformation projects in banking, designing and delivering scalable AI systems.
- Company: Join a leading professional services organisation at the forefront of AI innovation.
- Benefits: Competitive salary, hybrid work model, and comprehensive benefits package.
- Other info: Opportunity for career growth and mentoring within a dynamic team.
- Why this job: Make a real impact in financial services by driving AI advancements.
- Qualifications: Strong software engineering background with experience in AI/ML systems.
The predicted salary is between 70000 - 90000 £ 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:
- Prompt engineering
- Embeddings
- Fine-tuning
- 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)
- Strong Agile delivery experience (Agile, SAFe, XP, Jira, Confluence, etc.)
- Proven ability to lead technical programmes and cross-functional teams
- Strong stakeholder management and client-facing leadership capability
Desirable Experience
- 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
Artificial Intelligence Engineering Manager in City of London employer: MBN Solutions
As a leading professional services organisation, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our London-based team enjoys a hybrid working model, competitive salaries, and comprehensive benefits, alongside ample opportunities for professional growth and development in the rapidly evolving field of AI and data transformation within the financial services sector. Join us to be at the forefront of AI engineering, where your expertise will directly impact major banking institutions and drive meaningful change.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineering Manager in City of London
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like MBN Solutions. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Artificial Intelligence Engineering Manager in City of London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to MBN Solutions.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on MBN Solutions's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at MBN Solutions
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with MBN Solutions.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at MBN Solutions will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former MBN Solutions employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
