AI Engineer Lead with Azure Devops -100 % Remote

AI Engineering Operations Lead with strong expertise in software delivery operations Azure DevOps

engineering governance SDLC processes and AI enabled workflow automation This role focuses on

enabling high performing software engineering teams by owning engineering operational execution

ensuring development ready artifacts maintaining engineering systems of record and leveraging AI

agents to automate administrative activities

The ideal candidate brings a combination of engineering operations experience Agile delivery knowledge

process optimization skills and practical application of AIdriven automation They serve as the

operational backbone of the Software Development Engineering organization allowing engineers to

focus on architecture development testing code reviews and delivering business value

We are seeking an AI Engineering Operations Lead to support software development teams by owning the

engineering operational activities required for efficient and predictable delivery This role resides within

the Software Development Engineering organization and serves as the operational partner to engineers

technical leads Product Managers Business Analysts Architects Scrum Masters and Agile PMO

The primary responsibility of this role is to ensure that engineering work is accurately represented within

Azure DevOps development ready artifacts are available for each iteration engineering metrics and

delivery data are captured and maintained and administrative activities are automated wherever

possible.

This role does not replace Scrum Masters or Agile PMO responsibilities Rather it enables those

functions by ensuring the engineering organization maintains highquality operational data traceability

backlog hygiene and governance artifacts that support delivery management and stakeholder reporting

A key focus of the role is applying AI agents and automation to modernize engineering operations reduce

manual effort improve engineering productivity and allow software engineers to spend more time

designing building testing and delivering software

Key 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

Required Experience

• 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