[Hiring] Azure Operations/AI Engineer @ICF

Role Description

ICF is seeking an Azure Operations/AI Engineer to support enterprise AI capabilities in a secure federal cloud environment. The role will provide operational and engineering support for AI services, related Azure infrastructure, and the DevSecOps practices that move AI capabilities into reliable production use.

You will work across cloud, application, security, data, and operations teams to:

• Configure and monitor AI platform components
• Support onboarding and access
• Automate delivery
• Troubleshoot issues
• Maintain compliance evidence

The role requires someone who can connect AI and data needs to practical cloud architecture, infrastructure as code, CI/CD, monitoring, and operational support.

Qualifications

• 3+ years of professional experience supporting data and AI technologies, including operational support for cloud-based AI or analytics capabilities.
• Experience supporting CI/CD pipelines and Agile work management using GitHub Enterprise, Jenkins, GitLab, Azure DevOps, or comparable tools.
• Experience implementing infrastructure as code using Terraform, Azure Resource Manager templates, AWS CloudFormation, or comparable technologies.
• Hands-on experience with Azure cloud infrastructure, including resource configuration, identity and access, networking, storage, monitoring, and service integration.
• Experience with DevSecOps, cloud security, compliance governance, vulnerability remediation, and production troubleshooting in enterprise or federal environments.
• Bachelor’s or master’s degree in computer science, engineering, information technology, or equivalent combination of education and experience.
• U.S. Citizenship required due to federal contract requirements.
• Must be able to satisfy FDIC personnel eligibility and background-investigation requirements.
• Candidate must reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S.

Requirements

• Provide operational support for enterprise AI capabilities, including onboarding initiatives and users, configuring approved Azure services, and coordinating access, permissions, and dependencies.
• Translate AI and application requirements into secure, supportable cloud and infrastructure configurations across Azure environments.
• Design, implement, and maintain CI/CD workflows for AI and platform components using GitHub Enterprise, Jenkins, GitLab, or comparable technologies.
• Develop and maintain infrastructure as code using Terraform, Azure Resource Manager templates, AWS CloudFormation, or comparable tools.
• Implement logging, monitoring, alerting, and operational dashboards using Splunk, Azure Monitor, Databricks logging, AppDynamics, or comparable platforms.
• Coordinate root cause analysis across application, cloud, data, platform, and security teams; document defects, risks, corrective actions, and operational resolutions.
• Support security and compliance activities, including baseline configuration, vulnerability scanning, ATO documentation, change control, audit coordination, and remediation tracking.
• Evaluate emerging AI, cloud, and DevSecOps technologies through proof-of-concept environments and provide technically grounded recommendations.
• Support high availability, disaster recovery, backup, recovery, and continuity practices for AI and supporting infrastructure.
• Participate in Agile planning, stand-ups, reviews, and retrospectives; maintain architecture diagrams, runbooks, technical specifications, and governance documentation.

Benefits

• Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process.
• We will consider for employment qualified applicants with arrest and conviction records.

Pay Range

The pay range for this position based on full-time employment is: $131,256.00 - $223,134.00.