At a Glance
- Tasks: Lead AI engineering projects, designing scalable solutions for major banking clients.
- Company: Global consulting firm at the forefront of AI technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with strong focus on team development and client success.
- Why this job: Make a real impact in the banking sector with cutting-edge AI solutions.
- Qualifications: Experience in software or data engineering, especially in AI and banking.
The predicted salary is between 80000 - 100000 £ per year.
Our client is a global consulting firm building and deploying production AI systems for major banking clients. They are looking to hire multiple AI engineers at Manager, senior manager or associate director level. These roles sit at the intersection of engineering and delivery — designing scalable agentic solutions, leading technical implementation, and owning the path from prototype to production. You'll work across the full stack: LLM architecture, RAG pipelines, MLOps, CI/CD, and regulatory compliance, collaborating with data scientists, architects, and senior client stakeholders to ship AI that works at enterprise scale.
Core requirements
- Proven software or data engineering background, with a track record of applied AI delivery using Python and SQL
- Experience in banking or broader financial services
- Solid grasp of LLM fundamentals — prompt engineering, fine-tuning, embedding models, and RAG patterns
- Hands-on experience with at least one vector database (e.g. Pinecone) and at least one agent framework (e.g. LangChain, LangGraph, or Agent Development Kit)
- Ability to design and build evaluation frameworks for agentic systems
- Comfortable building API-enabled backend services, e.g. FastAPI
- MLOps or LLMOps knowledge, including CI/CD pipeline setup for ML or agent development
- Experience with at least one hyperscaler stack — AWS, Azure, GCP, or Databricks; cloud certifications preferred
- Familiarity with Agile or SaFe delivery methodologies
The role also requires
- Senior stakeholder management — translating technical concepts clearly for non-technical audiences
- Experience scoping and estimating agentic AI builds, including commercial thinking around ROI
- Dependent on level, confidence contributing to bids, RFPs, and proposal development
- Experience managing and developing junior team members
- Client-facing and delivery-led. You'll manage teams, shape proposals, and own outcomes.
Senior AI Engineering Lead - Banking & Capital Markets employer: Milburn Lewis
As a leading global consulting firm, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and opportunities to work on cutting-edge AI projects within the banking sector. Located in a vibrant city, we offer competitive benefits and a supportive environment where your contributions directly impact our clients' success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineering Lead - Banking & Capital Markets
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking and AI sectors. Attend industry events or webinars where you can meet potential employers and showcase your expertise. Remember, it's all about who you know!
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in AI and banking. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 3
Showcase your projects! Whether it's a GitHub repo or a portfolio, make sure you have tangible examples of your work ready to share. Highlight your experience with LLMs, MLOps, and any relevant frameworks to impress your interviewers.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Senior AI Engineering Lead - Banking & Capital Markets
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience in AI delivery, especially with Python and SQL, and don’t forget to mention any banking or financial services background you have. We want to see how your skills align with what we’re looking for!
Showcase Your Projects:Include specific examples of projects where you've designed scalable solutions or worked with LLMs and MLOps. We love seeing hands-on experience, so if you've built evaluation frameworks or API-enabled services, shout about it! This is your chance to shine.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your technical skills and experiences, especially when discussing complex concepts. Remember, we need to understand your expertise at a glance, so avoid jargon where possible!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you get all the updates. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Milburn Lewis
✨Know Your AI Fundamentals
Make sure you brush up on your understanding of LLM fundamentals, prompt engineering, and RAG patterns. Be ready to discuss how you've applied these concepts in previous projects, especially in the banking or financial services sector.
✨Showcase Your Technical Skills
Prepare to demonstrate your hands-on experience with Python, SQL, and vector databases like Pinecone. Bring examples of how you've built API-enabled backend services and set up CI/CD pipelines for ML or agent development.
✨Communicate Clearly with Stakeholders
Practice translating complex technical concepts into simple terms for non-technical audiences. This is crucial as you'll be working closely with senior client stakeholders, so being able to convey your ideas clearly will set you apart.
✨Demonstrate Leadership and Team Management
Be ready to discuss your experience managing teams and developing junior members. Highlight any instances where you've shaped proposals or contributed to bids, as this shows your ability to lead and deliver results.
