AI Cloud Platform Engineer - GenAI, MLOps & DevOps

Capgemini; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Benefits offered by this job

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Job summary

Capgemini is seeking a highly skilled AI Cloud DevOps & Platform Engineer to deploy, operate and optimise AI/ML/GAN solutions across AWS and Azure in production. You will build CI/CD pipelines, automate infrastructure with Terraform, Bicep and CloudFormation, ensure platform reliability and support governance and Responsible AI.

Hybrid work blends Capgemini offices, client sites and home. You will collaborate with architects and stakeholders to operationalise AI, advance platform strategy and

Qualifications

• 5+ years in DevOps & Platform Eng, 3+ years in AI Ops.
• Strong experience with Azure and/or AWS cloud platforms.
• Hands-on production experience with AI/ML/Generative AI.
• Knowledge of Azure OpenAI, Azure AI Services, Bedrock and SageMaker.
• Understanding of LLMs, RAG, AI Agents and modern AI patterns.
• Experience in Platform Eng, DevOps and cloud operations.
• CI/CD, IaC (Terraform, Bicep, CloudFormation) and automation expertise.
• Proficiency in Python and scripting.
• Experience with Docker, Kubernetes, GitHub Actions and/or Azure DevOps.
• Monitoring, observability and reliability engineering knowledge.
• LangChain, Semantic Kernel, CrewAI or AutoGen familiarity.
• Vector databases and AI orchestration frameworks.
• Databricks, Microsoft Fabric or enterprise data platforms.
• MLOps, ModelOps and AIOps practices.
• Experience in regulated or large-scale enterprise environments.
• Consulting experience delivering cloud/AI transformation initiatives.

Responsibilities

• Deploy, operate and support AI/ML/Gen AI solutions across AWS and Azure.
• Implement and manage LLM, RAG, AI Agents and Copilot-based solutions.
• Build and maintain CI/CD pipelines and infrastructure automation.
• Monitor platform health, model performance and SLAs.
• Troubleshoot incidents and drive service improvements.
• Support AI governance, security and Responsible AI requirements.
• Collaborate with architects and business stakeholders to operationalise AI.
• Contribute to AI platform strategy and best-practice adoption.

Skills

DevOps

Platform Eng

AI Ops

Azure

AWS

CI/CD

Python

Kubernetes

Terraform

Bicep

CloudFormation

Automation

Security

Governance

SageMaker

Bedrock

LangChain

Semantic Kernel

CrewAI

AutoGen

Databricks

Microsoft Fabric

Tools

Databricks

Microsoft Fabric

SageMaker

Azure OpenAI

Azure AI Services

Bedrock

LangChain

Semantic Kernel

CrewAI

AutoGen

Job description

Capgemini is seeking a highly skilled AI Cloud DevOps & Platform Engineer to deploy, operate and optimise AI/ML/GAN solutions across AWS and Azure in production. You will build CI/CD pipelines, automate infrastructure with Terraform, Bicep and CloudFormation, ensure platform reliability and support governance and Responsible AI.

Hybrid work blends Capgemini offices, client sites and home. You will collaborate with architects and stakeholders to operationalise AI, advance platform strategy and