VDOT AI Engineer 4 (785927) at Advanced Network Consulting Inc

Mechanicsville, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Mar, 26

Salary

0.0

Posted On

05 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure, AI Implementation, Cloud Migration, System Security, Backup Operations, Troubleshooting, Patch Management, Disaster Recovery, Networking, SCCM, SCOM, Java, SQL, Oracle, Microsoft Dynamics, .NET

Industry

Description

Description **local candidates strongly preferred **candidate must be able to come to Mechanicsville, VA to pick up laptop VDOT 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 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. Requirements Experience providing guidance on the implementation of AI resources in Azure, and experience implementing, maintaining, and monitoring those resources--Required 3 Years Experience with implementing, monitoring, and maintaining Azure environments--Required 8 Years Experience performing regular patching and updates to ensure system security and stability--Required 10 Years Experience overseeing backup operations and recovery processes in mission-critical environments--Required 10 Years Experience planning & executing cloud migrations, and moving workloads from on-premises to the cloud--Required 10 Years Experience providing support and troubleshooting issues for production applications--Required 10 Years Experience with tools like SCCM & SCOM for automated patch management & deployment--Required 10 Years

Responsibilities

The AI Engineer IV will implement, maintain, and manage cloud infrastructure for AI in Azure. This role includes configuring and maintaining monitoring, Infrastructure as Code (IaC), and Continuous Integration/Continuous Deployment (CI/CD) for these resources.