AI Engineer IV Azure Infrastructure
📍 Mechanicsville, VA (Onsite)
📅 Contract : 6+ Months
About the Role
We are seeking an experienced AI Engineer IV to support the design, implementation, and maintenance of Azure-based AI infrastructure. This role will focus on cloud architecture, monitoring, security, patching, CI / CD automation, and ensuring operational excellence across mission-critical environments.
This is an onsite position requiring candidates to be local to Virginia or able to pick up equipment in Mechanicsville, VA . Interviews will be conducted in person only.
Key Responsibilities
- Implement, maintain, and manage Azure AI and cloud infrastructure .
- Provide technical guidance on deploying and optimizing AI resources in Azure .
- Configure and maintain monitoring , IaC , and CI / CD pipelines .
- Perform regular patching, updates, and vulnerability remediation .
- Manage backup operations , disaster recovery plans , and system stability efforts.
- Support production applications and troubleshoot issues across diverse technologies (.NET, Java, SQL, Oracle, Dynamics).
- Plan and execute cloud migration projects from on-prem to Azure.
- Work with enterprise tools including Tenable , SCCM , and SCOM for security and automated deployment.
- Collaborate cross-functionally to ensure secure, reliable, and scalable system operations.
Required Skills & Experience
3+ years guiding and supporting Azure AI resource implementations .8+ years working with Azure environments (implementation, monitoring, maintenance).10+ years of patching, system updates, and automated deployment experience.10+ years managing backup, recovery, and mission-critical environments .10+ years supporting production applications across multi-tech stacks.Strong knowledge of networking concepts , OSI layers, and network protocols.Experience using SCCM / SCOM , Tenable , and other enterprise security tools.Preferred Qualifications
Certifications such as :Azure Administrator AssociateAzure Solutions ArchitectAzure AI Engineer AssociateNetwork+ , CCNA , or relatedExperience in government or large-scale enterprise environments.