Senior AI Platform Engineer - Cloud, MLOps & Scale

Capgemini

Charlotte (NC)

On-site

USD 51,000 - 80,000

Full time

20 hours ago
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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
Retirement plan

Job summary

Capgemini in Charlotte, NC seeks a senior AI Platform Engineer to build and operate the infrastructure powering AI/ML workloads. The role emphasizes cloud platform engineering, CI/CD automation, and MLOps to enable reliable, secure AI delivery.

You will design scalable GCP infrastructure, manage CI/CD pipelines, containerize services with Docker/Kubernetes, and ensure security, observability, and compliance across environments, collaborating with AI/ML teams.

Qualifications

  • 7+ years in platform engineering, DevOps, or infra roles.
  • Hands-on with Google Cloud Platform (GCP) incl Vertex AI and GKE.
  • Design and manage CI/CD pipelines.
  • IaC experience, Terraform preferred.
  • Strong scripting in Python/Bash/Go.

Responsibilities

  • Design, build, and maintain scalable cloud infrastructure on GCP.
  • Architect and manage CI/CD pipelines for model training, deployment, and app releases.
  • Build and maintain MLOps pipelines for versioning, training, deployment, and monitoring.
  • Implement Infrastructure as Code for repeatable provisioning.
  • Containerize and orchestrate services using Docker and Kubernetes (GKE).
  • Establish observability, logging, and alerting for AI/ML services.
  • Partner with AI/ML engineers to productionize models and streamline from experimentation to production.
  • Ensure platform security, IAM policies, secrets management, and compliance across environments.
  • Drive automation to reduce manual toil across build, test, deployment, and rollback processes.
  • Troubleshoot platform/infrastructure issues and drive root-cause resolution for production incidents.

Skills

GCP expertise
CI/CD design
Python scripting
Kubernetes knowledge
Security and IAM
Observability & monitoring
MLOps lifecycle understanding
Automation mindset

Tools

Terraform
Docker
GKE
Cloud Run
Vertex AI
GitHub Actions
Jenkins
ArgoCD

Job description

Capgemini in Charlotte, NC seeks a senior AI Platform Engineer to build and operate the infrastructure powering AI/ML workloads. The role emphasizes cloud platform engineering, CI/CD automation, and MLOps to enable reliable, secure AI delivery.

You will design scalable GCP infrastructure, manage CI/CD pipelines, containerize services with Docker/Kubernetes, and ensure security, observability, and compliance across environments, collaborating with AI/ML teams.

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