AI Modernization Engineering Manager

About the role

We are looking for an experienced engineering leader to join a large-scale platform modernization program focused on transforming a legacy monolithic application into a cloud-native, API-first, event-driven architecture using an AI-first delivery model. The selected candidate will lead a dedicated modernization pod comprising Technical Leads, Developers, QA Engineers, and Business Analysts while driving delivery excellence, AI adoption, and technical execution.

Employment Type: Full-Time

Location: Remote

Responsibilities

• Own end-to-end delivery, quality, and execution outcomes for a modernization workstream.
• Lead and mentor cross-functional teams including Engineering, QA, Business Analysis, and Technical Leads.
• Drive Agile delivery, sprint planning, backlog management, release readiness, and stakeholder communication.
• Promote and govern AI-assisted development practices and AI-enabled SDLC processes.
• Define and enforce AI governance controls, tool usage standards, review workflows, and approval processes.
• Track AI adoption, productivity gains, quality improvements, and value realization metrics.
• Partner with client architects and technical leadership to align implementation with target-state architecture.
• Ensure compliance with security, privacy, licensing, and coding standards for AI-generated artifacts.
• Proactively manage delivery risks, dependencies, and escalations.

Requirements

• 12-16 years of experience in Software Engineering, Application Development, or Technology Delivery.
• 5+ years of Engineering Management experience leading large and distributed teams.
• Strong background in Application Modernization, Cloud Migration, Microservices, APIs, and Event-Driven Architectures.
• Experience with Agile Delivery, DevOps, CI/CD, Quality Engineering, and Release Management.
• Strong stakeholder management and executive communication skills.

Skills

• Hands‑on experience with AI‑assisted development tools: GitHub Copilot, Claude Code, Cursor, Windsurf, and similar agentic coding platforms.
• Working knowledge of AI Governance, Spec‑Driven Development (SDD), Context Engineering, RAG (Retrieval‑Augmented Generation), and MCP (Model Context Protocol).

Qualifications

• AI Modernization Engineering Manager
• Engineering Manager with AI Transformation Experience
• Technical Delivery Manager
• Application Modernization Leader
• AI Enablement Manager
• Cloud Transformation Engineering Manager
• Engineering Excellence Leader