Job description

The Work 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. Job Location: Remote What You Will Do 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. What You Will Bring With You 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. What We Would Like You To Bring With You 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 Professional Skills Communicate technical issues, risks, architecture decisions, and operational impacts clearly to technical and nontechnical stakeholders. Collaborate across cloud, AI, data, security, application, and operations teams to resolve issues and deliver reliable services. Use structured analysis to evaluate alternatives, identify root causes, and recommend practical improvements. Organize work across concurrent Agile priorities and maintain accurate technical and compliance documentation. Bot and Third-Party Applications Please note that this application must be submitted directly by the applicant for consideration. Failure to do so may result in the application being excluded for consideration . Applicants needing an accommodation for disability or religious purposes in connection with the application process should contact Candidateaccommodation icf.com for assistance. Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world s toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer . Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our  EEO policy. We will consider for employment qualified applicants with arrest and conviction records. 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. To request an accommodation, please email  Candidateaccommodation icf.com  and we will be happy to assist . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.  Read more about  workplace discrimination righ t s or our benefit offerings which are included in the  Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted . This policy is in place to maintain the integrity and authenticity of the interview process.  However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at  candidateaccommodation icf.com . We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.   Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is : $131,256.00 - $223,134.00 Nationwide Remote Office (US99)

Requirements

Must-haves

Job Location: Remote
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.
What You Will Bring With You
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.
What We Would Like You To Bring With You
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.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

azureaici/cdawsagilemachine learningpythonkubernetesdockersql

Platform: workday
Effort: long

Benefits

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