G5 - Engineering Transformation Lead - J50623

Role & responsibilities

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
AI-Driven SDLC Thinking
Engineering Workflow Optimization
Standardization & Scale Mindset

Secondary Skills (Key Differentiators)
Quality-First Engineering Approach
Context-Aware Problem Solving
Adoption & Influence Across Teams

📌 Engineering Transformation Lead Tamil Nadu
🏢 Sampoorna Consultants
📍 Tamil Nadu