AI Engineer IV

Job DescriptionAI Engineer IVLocation: Hybrid - Mechanicsville, VA SummaryVDOT is seeking an AI Engineer IV to implement, maintain, and manage cloud infrastructure for AI in Azure, as well as configure/maintain monitoring, IaC, and CI/CD for these resources.Requirements:· Experience providing guidance on the implementation of AI resources in Azure, and experience implementing, maintaining, and monitoring those resources.· Experience performing regular patching and updates to ensure system security and stability.· Experience overseeing backup operations and recovery processes in mission-critical environments.· Experience in planning & executing cloud migrations and moving workloads from on-premises to the cloud.· Comfortable working in an environment that utilizes multiple frameworks/technologies, including .NET, Java, SQL, Oracle, Microsoft Dynamics, and more.· Experience providing support and troubleshooting issues for production applications.· Experience working with security tools such as Tenable to manage vulnerability remediation, etc.· Experience with tools like SCCM & SCOM for automated patch management & deployment.· Experience crafting disaster recovery (DR) plans to ensure minimal downtime and prevent data loss.· Strong networking knowledge - including understanding OSI layer functionality and network protocols.Nice-to-haves:· Microsoft-focused certifications, such as: Azure Administrator Associate, Azure Solutions Architect, Azure AI Engineer Associate, etc.· Networking-focused certifications, such as Network+, CCNA, etc.RequirementsRequired/Desired SkillsSkillRequired /DesiredAmountof ExperienceExperience providing guidance on the implementation of AI resources in Azure, and experience implementing, maintaining, and monitoring those resourcesRequired3YearsExperience with implementing, monitoring, and maintaining Azure environments.Required8YearsExperience performing regular patching and updates to ensure system security and stability.Required10YearsExperience overseeing backup operations and recovery processes in mission-critical environments.Required10YearsExperience in planning & executing cloud migrations and moving workloads from on-premises to the cloud.Required10YearsExperience providing support and troubleshooting issues for production applications.Required10YearsExperience with tools like SCCM & SCOM for automated patch management & deployment.Required10YearsRequirementsSkills Years of Exp Bachelor's degree in information technology, Computer Science, Data Science, or an equivalent work experience. Experience with the concepts, philosophies, and tools behind the design of applications, solution architecture, and underlying information technologies Enterprise, full-life cycle architecture experience in the professional IT/Software Development services industry. Hands-on technical application architecture experience, including application build and modernization. AWS Certified Solutions Architect (PLS UPLOAD CERTIFICATION) Experience with state and local Government is a plus. Experience with cutting-edge AI technologies in developing chatbots and generative AI (GenAI) and LLM deployment for public sector use cases. Experience with AI ethics, bias mitigation, and responsible AI frameworks Certification in cloud architecture or AI specialties (AWS, Azure, or GCP). (PLS UPLOAD CERTIFICATION) Skills Years of Exp Bachelor's degree in information technology, Computer Science, Data Science, or an equivalent work experience. Experience with the concepts, philosophies, and tools behind the design of applications, solution architecture, and underlying information technologies Enterprise, full-life cycle architecture experience in the professional IT/Software Development services industry. Hands-on technical application architecture experience, including application build and modernization. AWS Certified Solutions Architect (PLS UPLOAD CERTIFICATION) Experience with state and local Government is a plus. Experience with cutting-edge AI technologies in developing chatbots and generative AI (GenAI) and LLM deployment for public sector use cases. Experience with AI ethics, bias mitigation, and responsible AI frameworks Certification in cloud architecture or AI specialties (AWS, Azure, or GCP). (PLS UPLOAD CERTIFICATION)