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Job Title: AI Engineer
Location: London
About the Job you are considering:
The AI Engineer is responsible for designing, building, and operationalizing AI and agentic capabilities that enable the reimagination of end-to-end enterprise processes. This role focuses on the implementation and optimization of AI models, agentic workflows, and supporting infrastructure, working in close partnership with Solution Architects and Forward Deployed Engineers. The AI Engineer ensures that AI solutions are robust, scalable, explainable, and production-ready, meeting enterprise standards for performance, security, and governance.
Hybrid working:
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:
AI Agentic System Development
- Design and develop AI-powered applications, including LLM-based and agentic solutions, to drive end-to-end business process transformation.
- Build and orchestrate agentic workflows capable of reasoning, planning, and executing actions across enterprise systems.
- Integrate AI solutions with upstream and downstream applications through APIs, event-driven architectures, and workflow orchestration platforms.
Model Capability Engineering
- Select, configure, fine-tune, and evaluate AI/ML models (e.g., LLMs, embeddings, and classifiers) aligned with business requirements.
- Design and manage Retrieval-Augmented Generation (RAG) pipelines, prompt engineering strategies, and context management frameworks.
- Optimize model performance, cost efficiency, latency, scalability, and reliability for production environments.
Product ionization & MLOps
- Operationalize AI solutions through robust monitoring, logging, evaluation, and continuous feedback mechanisms.
- Collaborate with platform and infrastructure teams to deploy AI models and agents within secure, scalable, enterprise-grade environments.
- Implement governance frameworks, guardrails, and controls to ensure responsible AI usage, including safety, bias mitigation, data privacy, and compliance.
Collaboration & Continuous Improvement
- Partner with Solution Architects to ensure implementations align with approved architectures, standards, and technology roadmaps.
- Work closely with Forward Deployed Engineers, product teams, and business stakeholders to rapidly iterate solutions based on user feedback and measurable business outcomes.
- Contribute to the development of reusable AI components, frameworks, best practices, and accelerators that promote organizational scalability and innovation.
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Your Skills:
- Strong software engineering experience, including proficiency in Python and hands-on experience with APIs, microservices, and distributed systems.
- Demonstrated experience designing, building, and deploying AI/ML and Large Language Model (LLM)-based solutions in production environments.
- Hands-on expertise in model evaluation, experimentation, performance optimization, and tuning.
- Solid understanding of data engineering concepts, including data pipelines, feature engineering, and system integration patterns.
- Proven ability to deliver solutions within complex, highly regulated enterprise environments while adhering to security and compliance requirements.
Preferred Qualifications
- Experience with agentic AI frameworks, orchestration platforms, and multi-agent system architectures.
- Familiarity with LLM platforms, vector databases, prompt engineering, and prompt orchestration techniques.
- Knowledge of MLOps practices, including model deployment, monitoring, governance, and lifecycle management.
- Experience in process automation, intelligent decision systems, and workflow optimization initiatives.
- Understanding of Responsible AI principles, including explainability, fairness, governance, risk management, and compliance frameworks.
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.
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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.
Make it real | www.capgemini.com
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