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# AI Platform Ops Engineer

- **Company:** Kforce Inc.
- **Location:** Englewood, CO, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, User Authentication, Bash Shell, Cloud Computing, Data Governance, Data Infrastructure, DevOps, Identity and Access Management, Python (Programming Language), Machine Learning, Meta-Data Management, Large Language Models, Software Troubleshooting, Amazon Virtual Private Cloud (VPC), AI Platforms, Infrastructure Automation Frameworks, Machine Learning Operations, Virtual Agents, Terraform, Databricks
- **Published:** August 6, 2026
- **Apply:** https://www.dice.com/job-detail/613b31a2-261e-4938-8c52-fa3aeec6b5b8

## About the Role

* 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

## Description

Kforce has a client that is seeking an experienced AI Platform Ops Engineer in Englewood, CO., 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


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