Hi,
We have a new employment opportunity. Looking for Consultants for the below requirement. I''m a talent acquisition professional at Saksoft, Siva Parvathi.
Please share your resume at
Title: AI Engineering Operations Lead with Azure, DevOps (ADO)
Location: Princeton, NJ (Remote)
Duration: Long-term
Exp level – 10+ years
Role Overview:
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 artefacts, 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 optimisation skills, and practical application of AI-driven 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 artefacts 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 high-quality 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 completely synchronised 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 organisation, 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
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