Senior AI Engineer
Capco is hiring a Senior AI Engineer in London, United Kingdom. Level rates it ; you can apply on Capco.
Level's read on this job
- On Level's scale, this AI engineer role is Builds AI ●●●●: the job is building AI systems.
- Tools and skills the posting cites include prompt engineering, RAG and AI agents.
- Level classifies it as a senior role.
- Level lists 702 other open roles at Capco.
AI in this role
Senior AI Engineer
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 Senior AI Engineer (Senior/Principal Consultant) to join our Technology Delivery team. In this role, you’ll combine deep expertise in AI/ML engineering and software development to design, build, and deploy advanced generative AI and agentic systems for leading financial services clients. You’ll work hands-on across the full AI engineering lifecycle, from architecting intelligent multi-agent systems to deploying scalable production-grade AI applications within enterprise environments. As a senior consultant, you’ll also collaborate closely with multidisciplinary teams and client stakeholders to drive innovation, accelerate adoption, and deliver measurable business impact.
What You’ll Do
- Architect and develop autonomous AI systems leveraging multi-modal large language models across text, image, audio, and video
- Design and implement agentic workflows using prompt engineering, Retrieval-Augmented Generation (RAG), APIs, and enterprise data integrations
- Fine-tune, optimize, and deploy large language and multi-modal models with a focus on scalability, reliability, and low-latency performance
- Build scalable MLOps pipelines and cloud-native AI applications to support secure, production-grade deployments
- Collaborate with clients and cross-functional teams to shape AI engineering strategy and accelerate GenAI adoption across complex environments
What We’re Looking For
- Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Engineering, or a related STEM discipline
- Proven hands-on experience deploying LLMs and multi-modal AI models within enterprise or large-scale production environments
- Strong software engineering expertise in Python, including backend development, API design, and distributed systems
- Solid understanding of scalable MLOps, observability, CI/CD practices, and cloud-native AI deployment architectures
- Excellent communication, stakeholder management, and problem-solving skills within agile delivery environments
Bonus Points For
- Experience building AI agent frameworks or autonomous orchestration platforms
- Knowledge of vector databases, semantic search, and advanced RAG architectures
- Experience with cloud platforms such as AWS, Azure, or GCP for AI workloads
- Familiarity with financial services, banking, or regulated enterprise environments
- Exposure to AI governance, model monitoring, and responsible AI practices
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.
- Healthcare Access: Convenient online GP services.
- 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.
How we rate this
Senior AI Engineer at Capco rates 96 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI engineer jobs at this level
Pay
- Typical AI engineer job
- $184k
This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you monitor a model once it's live, and how do you know it needs retraining?
- How do you think about the risk of an AI system in this kind of role failing silently?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, AI agents, ML Ops, and AI Safety. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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