4 days ago
London, United KingdomSenior
Responsibilities
- Deploy, operate, and support AI, ML, and Generative AI solutions across AWS and Azure.
- Implement and manage LLM, RAG, AI Agent, and Copilot-based solutions.
- Build and maintain CI/CD pipelines, infrastructure automation, and operational tooling.
- Monitor platform health, model performance, reliability, and operational SLAs.
- Troubleshoot incidents, perform root cause analysis, and drive service improvements.
- Support AI governance, security, compliance, and Responsible AI requirements.
- Collaborate with architects, engineers, and business stakeholders to operationalize AI solutions.
- Contribute to AI platform strategy, standardization, and best practices.
Requirements
- At least 5 years of DevOps and Platform Engineering experience and 3 years of AIOps experience.
- Strong experience with Azure and/or AWS and hands-on production support for AI, ML, or Generative AI solutions.
- Knowledge of Azure OpenAI, Azure AI Services, Amazon Bedrock, and/or SageMaker.
- Understanding of LLMs, RAG architectures, AI Agents, and modern AI patterns.
- Experience with Platform Engineering, DevOps, cloud operations, CI/CD, infrastructure as code, and automation.
- Proficiency in Python and scripting, with experience using Docker, Kubernetes, GitHub Actions, and/or Azure DevOps.
- Knowledge of monitoring, observability, reliability engineering, and operational support.
- Preferred experience with LangChain, Semantic Kernel, CrewAI, AutoGen, vector databases, AI orchestration frameworks, Databricks, Microsoft Fabric, enterprise data platforms, MLOps, ModelOps, AIOps, regulated environments, and cloud or AI transformation consulting.
- Preferred certifications include Azure AI Engineer Associate, Azure DevOps Engineer Expert, AWS AI Practitioner, AWS Machine Learning Engineer or Specialty, AWS DevOps Engineer Professional, and Kubernetes CKA or CKAD.
Benefits
- Hybrid working across company offices, client sites, and home, with the role not being 100% remote.
- Wellbeing support including Mental Health Champions and access to Thrive and Peppy wellbeing apps.
- Training and development opportunities including thinktanks, hackathons, up to 250,000 courses, and external certifications.
- Inclusive recruitment support through Capgemini’s Disability Confident Employer Level 2 commitment.
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.