Senior AI Engineer - London

Senior AI Engineer - London

Reference Code: -en_GBContract Type:PermanentProfessional Communities: Software Engineering

Job Title: Senior AI Engineer

Location: London

About the Job you are considering:

Join the AI Engineering Team within the Digital Delivery pillar of EMEA Corporate Technology AMD, responsible for delivering innovative AI-powered solutions across the organization. The team designs, develops, and supports enterprise-grade AI applications, including Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI solutions.

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.

Key Responsibilities and Experiences

• Collaborate with Digital Transformation (DXT) teams and business stakeholders to understand business requirements, contribute to opportunity assessment and prioritization, and define measurable success criteria for AI initiatives.
• Design, develop, and deliver scalable AI solutions, including Generative AI, Retrieval-Augmented Generation (RAG), Agentic AI, and intelligent automation capabilities aligned to business objectives.
• Evaluate technology, model, and platform options, providing recommendations based on business value, cost, risk, strategic alignment, scalability, and long-term supportability.
• Follow Systems Development Lifecycle (SDLC) and governance processes, ensuring appropriate planning, documentation, testing, release management, risk mitigation, and stakeholder reporting.
• Drive adoption of engineering best practices, architectural standards, reusable frameworks, and quality controls to ensure secure, reliable, and maintainable AI solutions.
• Partner with architecture, engineering, security, and infrastructure teams to ensure AI solutions meet enterprise standards for performance, resilience, compliance, and operational excellence.

Required Skills

• 10+ years of experience in technology delivery, software engineering, platform engineering, data science, machine learning, or AI solution development.
• Minimum 2+ years of hands-on experience designing and delivering custom Generative AI solutions on Microsoft Azure (preferred) or AWS.
• Strong experience building and operating production-grade Generative AI applications, including:

• Retrieval-Augmented Generation (RAG)
• AI Agents and Agentic Workflows
• Prompt Engineering and Prompt Optimization
• Model Evaluation and Observability Frameworks
• LLM Fine-tuning and Adaptation Techniques

• Hands-on experience with Azure AI Foundry, Azure OpenAI Service, Model Context Protocol (MCP), and modern AI orchestration frameworks.
• Strong programming skills in Python, with experience developing scalable APIs, AI services, and automation solutions.
• Experience implementing vector search solutions using Vector Databases such as Azure AI Search, Pinecone, Weaviate, Chroma, Milvus, or similar technologies.
• Experience working with Large Language Models (LLMs) such as GPT, Llama, Claude, Mistral, or equivalent foundation models.
• Strong understanding of AI architecture patterns, including grounding, retrieval pipelines, context management, agent orchestration, guardrails, and responsible AI practices.
• Experience integrating AI solutions with enterprise systems, data platforms, APIs, and cloud-native services.
• Knowledge of MLOps, CI/CD, monitoring, model lifecycle management, and production support processes.
• Familiarity with cloud security, governance, risk management, and compliance requirements for enterprise AI solutions.
• Strong stakeholder management, communication, and problem-solving skills, with the ability to translate business requirements into scalable technical solutions.

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Make It Real (what does it mean for you):

• Youd 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 Capgeminis 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 Manage Mentor, Cybersecurity qualifications and much more.
• You will be joining one of the Worlds 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, youll 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 whats possible. Its why, together, we seek out opportunities that will transform the worlds leading businesses, and its how youll 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, youll build the skills you want. Youll 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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