Job Summary
Experience:
10.00 - 15.00 Years
Industrial Type:
IT-Software/Software Services
Location:
Chennai
Functional Area:
IT Software - Application Programming / Maintenance
Designation:
G5 - Engineering Transformation Lead
Key Skills:
SDLC, AI-assisted development
Educational Level:
Graduate/Bachelors
Job Post Date:
2026-07-01 17:43:33
Stream of Study:
Degree:
BE-Comp/IT, BE-Other, BSc-Comp/IT, BSc-Other, BTech-Comp/IT, BTech-Other, MCA, ME-Comp/IT, ME-Other, MSc-Comp/IT, MS-Comp/IT, MSc-Other, MS-Other, MTech-Comp/IT, MTech-Other
Company Description
We’re more than simply paper, ink, and toner. We provide the supplies and services that thousands of businesses around the world need to succeed. We’re the experts in technology and conferencing equipment, cleaning products, furniture, and even breakroom items like snacks and coffee, too. (After all, innovation requires plenty of fuel!) This is a company of more than 13,000 smart, insightful experts who believe in the power of what can be and are driven to make business easier for our customers.
Job Description
Posting Title - Engineering Transformation Lead
Job Description
This role focuses on embedding AI across the software development lifecycle (SDLC) to improve developer productivity, enhance code quality, and reduce manual effort. The expectation is not limited to AI-assisted coding, but to systematically integrate AI across planning, development, testing, and release workflows, while establishing consistent and reusable engineering practices.
Key Responsibilities
Leverage AI-assisted tools (e.g., GitHub Copilot, code agents) as an integral part of engineering workflows, not as isolated accelerators.
Apply AI across the end-to-end SDLC (planning ? coding ? testing ? deployment) to improve speed, quality, and consistency of delivery.
Drive adoption of AI beyond development into areas such as:
Requirement understanding and design support
Test generation and validation
Code review and defect detection
Design and implement AI-driven workflows that reduce manual steps, minimize rework, and improve overall engineering efficiency.
Establish and scale standardized, reusable patterns, including:
Prompt frameworks
Coding and design accelerators
AI-enabled development workflows
Ensure consistent, high-quality code output across teams, independent of individual developer variability, improving maintainability and adherence to enterprise standards.
Use AI to enhance quality engineering practices, including:
Increasing test coverage
Enabling early defect identification
Supporting structured and consistent code reviews
Enable context-aware development, leveraging codebase, documentation, and work item context (tickets, user stories) to drive more accurate and aligned implementations.
Reduce context gaps and inefficiencies, improving developer decision-making, productivity, and alignment to business and architectural intent.
Requirements
What This Role Specifically Emphasizes
AI applied to engineering workflows, not just model building
End-to-end SDLC integration, not isolated tool usage
Standardization and scale, not individual productivity hacks
Quality and consistency, not just speed
Primary Skills
1. AI-Driven SDLC Thinking
2. Engineering Workflow Optimization
3. Standardization & Scale Mindset
Secondary Skills (Important Differentiators)
1. Quality-First Engineering Approach
2. Context-Aware Problem Solving
3. Adoption & Influence Across Teams
