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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer - **Company:** Capgemini Sogeti - **Location:** London, UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Architectural Patterns, Microsoft Azure, Cloud Computing Security, Computer Programming, Continuous Integration, Python (Programming Language), Machine Learning, Performance Tuning, Systems Development Life Cycle, Release Management, Search Technologies, Software Engineering, Systems Integration, Enterprise Software Applications, Large Language Models, Prompt Engineering, Model Validation, Generative AI, AI Platforms, Kubernetes, Data Management, Machine Learning Operations, Virtual Agents, Restful APIs, GPT, Serverless Computing - **Published:** September 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=60d21073ef44eb44 ## About the Role * 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. ## Description * 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. ## Related Videos - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Livecoding with AI](https://www.wearedevelopers.com/videos/1201-livecoding-with-ai) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)