Azure Ops/AI Engineer (US Remote)

ICF•Reston, VA

12d•$131,256 - $223,134•Remote

About The Position

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, and 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.

Requirements

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.

Nice To Haves

Experience supporting Azure AI services, Azure Machine Learning, Azure OpenAI, Databricks, Azure Data Factory, Azure Data Lake Storage, Azure Synapse, or related services.
Experience with AI or machine learning environments involving Python, NLP, model serving, inference, or data preparation; familiarity with AWS SageMaker, AWS Bedrock, or comparable services.
Experience operating enterprise DevSecOps shared services and standardizing development or deployment environments across teams.
Experience with Kubernetes, OpenShift, Docker, Ansible, Artifactory, SonarQube, Fortify, OWASP tools, or comparable technologies.
Experience designing high availability and disaster recovery solutions across cloud or hybrid environments.
Experience with relational and nonrelational databases, including Oracle, SQL Server, PostgreSQL, DB2, MySQL, or comparable platforms.
Experience with performance tuning and observability using Splunk, Azure Monitor, Databricks logs, AppDynamics, NeoLoad, or similar tools.
Microsoft Azure Certifications

Responsibilities

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.