Senior AI Platform Engineer — Hybrid Cloud & MLOps

Capgemini Invent; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid working model

Flexible working arrangements

Training and certifications

Wellbeing support

Job summary

Capgemini Invent is seeking an AI Platform Engineer Senior Consultant to design, build, and operate AI workloads infrastructure. You will work across hybrid and multi-cloud environments, leading architecture reviews and client workshops while advancing MLOps and LLMOps capabilities.

Clear stakeholder communication and hands-on leadership are essential. Join a dynamic team within Capgemini Invent offering a pathway to influence AI platform engineering across high-profile transformations, with

Qualifications

• Active SC (Security Check) Clearance, or eligible and willing to gain this level of clearance.
• 5+ years’ experience across Azure, AWS, or GCP; strong DevOps fundamentals.
• Experience with MLOps/LLMOps, AI platform tooling, and cloud-native infrastructure.

Responsibilities

• Design, build, and operate AI workloads infrastructure across cloud, on-premises, and hybrid environments.
• Lead architecture reviews, workshops, and client briefings; support governance and cost attribution for AI systems.
• Architect and deploy AI-ready infrastructure (GPU-accelerated compute, Kubernetes/OpenShift) and model serving海.
• Establish observability, security, and governance frameworks for AI platforms; monitor and troubleshoot operations.
• Mentor teammates and share knowledge to develop the AI platform engineering culture.

Skills

Python

Strong communication

DevOps fundamentals

Security clearance

Scripting (Go/Rust/Bash)

Tools

Kubernetes/OpenShift

Terraform

GitOps

CI/CD

Azure/AWS/GCP

NVIDIA AI Enterprise

Job description

Capgemini Invent is seeking an AI Platform Engineer Senior Consultant to design, build, and operate AI workloads infrastructure. You will work across hybrid and multi-cloud environments, leading architecture reviews and client workshops while advancing MLOps and LLMOps capabilities.

Clear stakeholder communication and hands-on leadership are essential. Join a dynamic team within Capgemini Invent offering a pathway to influence AI platform engineering across high-profile transformations, with