At a Glance
- Tasks: Lead AI transformation projects in banking, designing and delivering scalable AI systems.
- Company: Top-tier professional services firm with a focus on innovation in financial services.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Mentorship opportunities and a collaborative environment for career advancement.
- Why this job: Join a dynamic team at the forefront of AI technology and make a real impact.
- Qualifications: Strong background in software or data engineering with applied AI experience.
The predicted salary is between 80000 - 93000 € 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
- 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
- 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 Slough 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 competitive salaries, comprehensive benefits, and ample opportunities for professional growth, particularly in the rapidly evolving field of AI within the banking sector. Join us to be at the forefront of transformative technology, where your contributions will directly impact major financial institutions and shape the future of banking.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineering Manager in Slough
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the AI space. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that highlight your experience with generative AI and agentic systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, SQL, and AI system design. Practice common interview questions and think about how you can demonstrate your leadership capabilities.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Artificial Intelligence Engineering Manager in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of AI Engineering Manager. Highlight your experience with AI systems, especially in banking transformation, and showcase any leadership roles you've held. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you the perfect fit for this role. Don’t forget to mention specific projects or achievements that demonstrate your expertise.
Showcase Your Technical Skills:In your application, be sure to highlight your technical skills, especially in Python, SQL, and AI system design. We’re looking for someone who can lead multi-disciplinary teams, so any examples of your hands-on experience will really help us see your capabilities.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at MBN Solutions
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially in the context of banking. Be ready to discuss your experience with LLMs, generative AI, and how you've implemented these technologies in production. This role is all about delivering value through AI, so show them you know your stuff!
✨Showcase Leadership Skills
As a Senior Manager, you'll need to demonstrate your ability to lead multi-disciplinary teams. Prepare examples of how you've successfully managed projects, influenced stakeholders, and mentored team members. Highlight your experience in driving AI transformation strategies and how you've shaped proposals or bids.
✨Get Technical with API Development
Since this role involves designing API-based AI services, be ready to dive into technical discussions. Talk about your experience with backend development using FastAPI or similar frameworks. If you've worked with vector databases or agent frameworks, make sure to mention those too!
✨Understand the Business Impact
It's crucial to articulate how AI can drive measurable business value. Prepare to discuss ROI modelling and how you've contributed to business cases in previous roles. Show that you understand the financial services landscape and can translate technical solutions into business benefits.
