AI Platform Engineer
Temporary
Kforce has a client that is seeking an experienced AI Platform Ops Engineer in Englewood, CO. Summary: The AI Platform Ops Engineer will help build, automate, and support a modern enterprise AI platform running on Databricks and AWS. This hands-on role is ideal for someone with a strong background in cloud infrastructure, platform engineering, and DevOps who is passionate about enabling scalable AI and machine learning solutions. You will be responsible for maintaining a secure, reliable, and highly automated platform while partnering with engineering teams to support analytics, machine learning, and AI workloads. Responsibilities:
- Administer and optimize Databricks workspaces in a production environment
- Build and manage infrastructure using Terraform and Infrastructure-as-Code best practices
- Develop and maintain CI/CD pipelines for platform deployments
- Implement and manage Unity Catalog governance, data classifications, and access controls
- Support AI platform integrations, including Model Context Protocol (MCP) frameworks and authentication
- Monitor platform health, troubleshoot production issues, and improve reliability
- Enforce cluster policies and contribute to platform cost optimization initiatives
- Create automation and self-service tools using Python and Bash scripting
- Document platform standards and mentor junior engineers on best practices
- Must have 3+ years of experience in Platform Engineering, DevOps, Cloud Operations, or a related field
- Must have 3+ years of hands-on Databricks administration in a production environment
- Experience with Terraform or other Infrastructure-as-Code tools
- Strong experience with AWS services, including IAM, S3, and VPC
- Proficiency with Python and/or Bash scripting for automation
- Experience designing and maintaining CI/CD pipelines
- Knowledge of data governance, metadata management, and access controls within modern data platforms
- Strong troubleshooting, communication, and collaboration skills
- Experience with Unity Catalog administration
- Familiarity with Databricks Asset Bundles
- Exposure to AI/ML infrastructure, LLM platforms, or AI agent frameworks (MCP)
- Experience supporting enterprise or highly regulated environments
Vacancy posted 7 days ago
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