This role sits within Capgemini’s Financial Services Business Unit as part of the Cloud & Custom Applications (C&CA) Practice – our motto is “consult with purpose, continuously evolve, and architect tomorrow”.
We’re building a new generation of engineers who combine strong technical capability with curiosity, clear communication, a thirst for new knowledge – and a practical understanding of applied AI.
This is a hands-on engineering role, but it also requires the ability to understand the people using the technology. You’ll need to listen well, ask relevant questions, and be able to explain- and present your thinking clearly to different stakeholders. As a hands‑on AI Engineer, you will design, build, and deploy real‑world AI and Generative AI solutions that turn client ambition into measurable outcomes. You’ll work directly with stakeholders, shape practical AI‑enabled workflows, and translate complex problems into secure, scalable, and production‑ready solutions-helping clients move confidently from experimentation to enterprise adoption.
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Your Role:
- Design, build and deliver AI-enabled, cloud-native full-stack applications using Java/Python, React and AWS.
- Work across the full AI-enabled software development lifecycle, from requirements and solution design through coding, testing, deployment, observability and continuous improvement.
- Develop backend services and APIs using Java/Spring Boot and/or Python, integrating enterprise systems, data sources and AI services.
- Integrate Generative AI and LLM capabilities into enterprise applications using patterns such as RAG, semantic/vector retrieval, prompt engineering, agents and workflow orchestration.
- Apply AI-assisted engineering techniques to accelerate coding, testing, documentation, refactoring, troubleshooting and code review while maintaining engineering quality.
- Design and deploy solutions on AWS, using appropriate cloud-native compute, integration, data and AI services.
- Build secure, scalable API-led, microservices and event-driven architectures.
- Implement automated unit, integration, API and UI testing, together with appropriate evaluation of AI behaviour and output quality.
- Apply DevSecOps, CI/CD, Infrastructure as Code and containerisation to build repeatable engineering and deployment pipelines.
- Build security, responsible AI, privacy, reliability, observability and governance into solutions from design through production.
- Work collaboratively across frontend, backend, AI, cloud and data layers rather than being constrained to a single technology specialism.
- Own components or workstreams end-to-end, resolve engineering blockers, and communicate technical decisions clearly to both technical and business stakeholders.
“We are a Disability Confident Employer:
Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme.As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:
- Declare they have a disability, and
- Meet the minimum essential criteria for the role.
Please opt in during the application process.
Make It Real (what does it mean for you):
- You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.
- To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.
- You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.
- You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.
Why you should consider Capgemini:
Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.
About Capgemini:
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end‑to‑end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
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