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Senior AI Engineer

Remote / Online - Candidates ideally in
Greater London, London, Greater London, W1B, England, UK
Listing for: Capgemini
Remote/Work from Home position
Listed on 2026-09-26
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 110000 - 150000 GBP Yearly GBP 110000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

# Senior AI Engineer London Apply  for this job
* Permanent* Experienced Professionals
* Software Engineering
* -en _GB
*
* 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.
** 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…
Position Requirements
10+ Years work experience
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