AI Engineering Operations Lead with Azure, Devops (ADO)

VBeyond Corporation is seeking an AI Engineering Operations Lead with expertise in Azure DevOps to support software development teams. This role focuses on owning engineering operational activities, ensuring development readiness, and leveraging AI for automation to improve software delivery efficiency.

Responsibilities:

• Own engineering operational execution within the Software Development Engineering organization
• Maintain Azure DevOps backlogs work item structures workflows dependencies traceability and engineering documentation required to support delivery execution
• Ensure MVPs Epics Features User Stories Technical Tasks Defects and engineering work items are complete synchronized and aligned with SDLC and governance requirements
• Partner with Product Managers Business Analysts Architects and technical leads to ensure requirements specifications acceptance criteria dependencies and supporting artifacts are development ready before each iteration
• Support engineering teams by managing operational activities that would otherwise consume developer capacity
• Ensure engineering metrics delivery data traceability information and backlog health indicators are accurately captured maintained and validated within engineering systems of record
• Provide complete and reliable delivery data that enables Agile PMO and leadership teams to perform stakeholder reporting governance reviews and portfolio oversight activities
• Coordinate with Scrum Masters and Agile PMO to maintain alignment between engineering execution planning activities and governance requirements
• Manage engineering work item hygiene documentation quality dependency tracking release readiness and audit traceability
• Develop AI powered agents and automation solutions to reduce manual administration improve data quality and streamline engineering workflows
• Leverage AI tools to automate documentation updates backlog maintenance traceability management engineering reporting inputs and governance artifacts
• Continuously identify opportunities to eliminate non value added engineering activities through workflow simplification and automation
• Drive adoption of AI enabled engineering operations practices while remaining aligned with Agile SDLC compliance and governance standards
• Establish repeatable operational processes that improve backlog quality development readiness traceability engineering productivity and delivery predictability
• Contribute to documentation of engineering standards operating procedures governance controls and automation frameworks
• Act as the operational extension of the software engineering organization enabling engineers to focus on coding architecture testing code reviews and innovation

Requirements:

• 10 years of experience in software delivery engineering operations application development
• Lifecycle management technical program management or related engineering support functions
• Deep experience with Azure DevOps including Boards Backlogs Work
• Mandatory Skills: Azure AI Studio, Azure DevOps, RPA - Microsoft Power Automate