Azure Ops/AI Engineer

ICF

. Provide operational support for enterprise AI capabilities, including onboarding initiatives and users, configuring approved Azure services, and coordinating access, permissions, and dependencies .

Posted 10/13/2026full-timeRemote • Virginia • United StatesMid-LevelSenior💰 $108,476 - $184,409 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in operational support for AI capabilities and cloud infrastructure, with a strong focus on CI/CD workflows, infrastructure as code, and security compliance. Proficient in collaborating across teams to ensure high availability and effective monitoring of AI and cloud services.

Highest-signal resume keywords

Azure Cloud InfrastructureCI/CD Pipeline ImplementationInfrastructure As CodeDevSecOps PracticesAI Technologies Support

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

TerraformAzure Resource ManagerAWS CloudFormationGitHub EnterpriseJenkinsGitLabAzure MonitorSplunkDatabricksPython

Soft Skills

CollaborationProblem-SolvingCommunicationAgile Methodologies

Tools & Technologies

Azure AI ServicesAzure Machine LearningKubernetesDockerAnsibleAppDynamicsFortifyOWASP ToolsAzure Data FactoryAzure Synapse

Certifications & Qualifications

Microsoft Azure Certifications

Industry Keywords

Cloud SecurityCompliance GovernanceVulnerability RemediationHigh AvailabilityDisaster Recovery

Tech Stack

Tools & technologies

AnsibleAWSAzureCloudDockerJenkinsKubernetesMySQLOpenShiftOraclePostgresPythonSplunkSQLTerraform

About the role

Key responsibilities & impact

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
Collaborate across cloud, application, security, data, and operations teams to deliver reliable services

Requirements

What you’ll need

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

Benefits

Comp & perks

Remote work
Reasonable accommodations for disabilities, disabled veterans, and sincerely held religious beliefs
Equal opportunity employment
Confidential accommodation support
Benefits offerings referenced under the Transparency in Coverage Act