Remote AI/ML Platform Engineer — Build Production AI

Motion Recruitment; Nashville (TN); Remote; USD 140,000 - 180,000; Full time

Job summary

Motion Recruitment is seeking an AI/ML Platform Engineer for a global leader in claims management. This contract-to-hire role is 100% remote with CST working hours, offering strong growth potential within a $21 billion organization.

You will build and deploy production-ready AI agents and platforms under a Principal AI Engineer, collaborating with end users to solve real business problems while scaling enterprise AI capabilities.

Qualifications

• 5+ years in DevOps, platform engineering, or MLOps.
• Hands-on with Azure, AWS, or GCP.
• Experience with Docker, Kubernetes, and cloud-native deployments.
• Proven CI/CD design and automated release management.
• Infra-as-code using Terraform, Bicep, or CloudFormation.
• Strong scripting in Python, PowerShell, or Bash.
• Experience with monitoring, observability, and security practices.

Responsibilities

• Build and maintain a shared AI platform for development and deployment.
• Design CI/CD pipelines for AI apps, APIs, containers, models, and agents.
• Establish deployment, environment, and release-management patterns.
• Implement monitoring, logging, tracing, alerting, and observability.
• Ensure platform security, secrets management, and access controls.
• Support production operations and reliability across AI projects.

Skills

DevOps & Platform

CI/CD pipelines

Cloud platforms

MLOps / LLMOps

SRE practices

Automation scripting

Security & IAM

Containerization

Observability

Incident management

Tools

Docker

Kubernetes

Terraform

Bicep

CloudFormation

Azure DevOps

GitHub Actions

Jenkins

Python

Job description

Motion Recruitment is seeking an AI/ML Platform Engineer for a global leader in claims management. This contract-to-hire role is 100% remote with CST working hours, offering strong growth potential within a $21 billion organization.

You will build and deploy production-ready AI agents and platforms under a Principal AI Engineer, collaborating with end users to solve real business problems while scaling enterprise AI capabilities.