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- Tasks: Lead the development of innovative AI systems in the financial sector.
- Company: Join Capco, a forward-thinking tech consultancy shaping digital finance.
- Benefits: Enjoy a competitive benefits package, including mental health support and continuous learning opportunities.
- Why this job: Make a real impact by architecting cutting-edge AI solutions for top-tier clients.
- Qualifications: Degree in Computer Science or related field; experience with AI/ML and software development.
- Other info: Collaborative culture that values individuality and offers excellent career growth.
The predicted salary is between 60000 - 84000 ÂŁ per year.
Lead AI Engineer (Principal Consultant)
Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent
Empower the next frontier of AI with Capco. Shape, build, and deliver future-ready generative systems.
The Role
We’re looking for a Lead AI Engineer (Principal Consultant) to join our Technology Delivery Team. You’ll combine your expertise in AI/ML engineering and software development to build and deploy cutting-edge generative AI and agentic systems across the financial services sector. As a hands-on leader, you’ll architect AI solutions, embed them within enterprise environments, and drive impactful outcomes through advanced engineering, scalable pipelines, and deep cross-functional collaboration.
What You’ll Do
Architect and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video)
Design agentic workflows enabling AI agents to interact with data sources and APIs using prompt engineering and RAG
Fine-tune, optimize, and deploy large language and multi-modal models with a focus on performance and latency
Build scalable MLOps pipelines and full-stack applications to support robust, production-grade AI deployments
Guide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoption
What We’re Looking For
Bachelor’s degree or higher in Computer Science, AI, or related STEM fields
Hands-on experience deploying LLMs and multi-modal models at scale
Strong engineering background in Python with proven backend and API development skills
Solid understanding of scalable MLOps, observability, and cloud-native AI deployment
Excellent communication, problem-solving, and project management skills in agile environments
Bonus Points For
Experience with agentic frameworks (e.g., LangChain, LlamaIndex)
Experience in deep learning frameworks and front-end development
Familiarity with Langfuse, Langsmith, or other LLM observability tools
Understanding of Model Context Protocol and bias/hallucination mitigation techniques
Previous success in integrating GenAI solutions into enterprise-scale systems
Why Join Capco
Deliver high-impact technology solutions for Tier 1 financial institutions
Work in a collaborative, flat, and entrepreneurial consulting culture
Access continuous learning, training, and industry certifications
Be part of a team shaping the future of digital financial services
Help shape the future of digital transformation across FS & Energy.
Benefits
We offer a competitive, people-first benefits package designed to support every aspect of your life:
- Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
- Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.
- Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
- Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
- Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
- Continuous Learning: Your growth, your way – minimum 40 Hours of Training Annually. Take your pick; workshops, certifications, e-learning. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.
- Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.
Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.
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Lead AI Engineer employer: Capco
Contact Detail:
Capco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and multi-modal models. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI engineering. Practice explaining complex concepts in simple terms, as communication is key in collaborative environments like Capco.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Capco.
We think you need these skills to ace Lead AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead AI Engineer role. Highlight your experience with AI/ML engineering and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
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 you can contribute to our team. Be sure to mention specific experiences that relate to the job description.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills, especially in Python and MLOps. We love seeing concrete examples of how you've deployed LLMs or built scalable pipelines. Make it easy for us to see your expertise!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Capco
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML engineering and the latest trends in generative systems. Be ready to discuss your hands-on experience with deploying LLMs and multi-modal models, as well as any specific projects you've worked on that relate to the financial services sector.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex engineering challenges in the past. Think about times when you had to optimise performance or reduce latency in AI systems, and be ready to explain your thought process and the outcomes.
✨Communicate Clearly
Since this role involves guiding multidisciplinary teams, practice articulating your ideas clearly and concisely. Use examples from your previous work to demonstrate your communication skills, especially in agile environments where collaboration is key.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their approach to AI integration within enterprise systems or how they foster continuous learning and development for their team members.
