Azure Ops/AI Engineer

🔥 1 minute ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $108.5k - $184.4k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ICF

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1969

💼 Consulting

🏛️ Government

🏥 Healthcare

💰 $29M Grant on 2023-03

Consulting • Government • Healthcare

ICF is a global consulting firm founded over 55 years ago that partners with governments, businesses, and communities to deliver data-driven, technology-enabled solutions for complex public- and private-sector challenges. Its work areas include digital modernization, data analytics, resilience and adaptation, energy planning, federal health programs, disaster management, and infrastructure and transportation support. ICF provides consulting, program implementation, and advisory services to drive measurable outcomes and build community resilience.

📋 Description

• 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

• 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

• 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