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VARSA SOLUTIONS · 2 days ago

AI Enablement Lead – Legacy Engineering (RPG / IBM i) - USA

United States

Full-time

Remote

Senior Level

VARSA SOLUTIONS is seeking an AI Enablement Lead to work hands-on with legacy engineering teams to accelerate software delivery using AI. The role focuses on improving development, testing, and deployment processes through AI tools and methodologies, ensuring measurable impact on speed and quality.

Information Technology & Services

Hiring Manager

Ankur G

Responsibilities

Enable legacy engineers to use AI-assisted tools to speed up coding, refactoring, and debugging

Coach teams to effectively use VS Code (or similar modern IDEs), including extensions, debugging, and AI-assisted workflows

Identify repetitive or error-prone coding patterns and introduce AI-driven acceleration

Drive practical, day-to-day AI adoption that improves developer throughput and code quality

Use AI to generate, optimize, and rationalize test cases to reduce regression effort while maintaining quality

Leverage LANSA or similar tools to create and execute functional, edge, and negative test cases for legacy systems

Drive test optimization and shift-left testing to identify defects earlier and shorten test cycles

Partner with QA/SDET teams to embed AI into testing workflows and accelerate execution

Apply AI to improve deployment readiness, validation, and change quality

Leverage ARCAD or similar tools for source control, build, release management, and deployment automation in IBM i / RPG environments

Identify and remove bottlenecks across the release pipeline, including packaging, approvals, and promotions

Improve release predictability, speed, and stability using AI-driven insights

Act independently to spearhead AI initiatives across engineering, QA, and operations

Architect AI-enabled solutions that accelerate delivery and business workflows

Design and build solutions such as: Team chatbots that provide intelligent, role-based responses for new team members, engineers, leaders, and operators; AI-driven knowledge retrieval for systems, incidents, and processes; AI-assisted workflows that speed up business flow and decision-making; Ensure solutions are secure, scalable, and production-ready

Own a weekly metrics report that clearly shows: Baseline vs. current development, test, and deployment cycle time; Measurable reductions in effort and duration; Clearly articulate: What improved this week; Why it improved; What will improve next week

Create lightweight how-to guides, playbooks, and examples for AI-assisted coding, testing, deployment, and operations

Drive adoption through demonstrated value, not mandates