# E-IT — AI Modernization Lead/Manager

- Generated: 2026-09-15 11:30:43 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4465785847/
- Provider: LinkedIn
- Posted: approximately 2026-09-14 11:30 AM EDT (from '1 day ago')
- Elapsed since posting: represented by the provider's relative posting label and approximate Eastern timestamp when available
- Applicants: 67 applicants
- Work model/location: United States; remote eligibility is not stated
- Compensation: Not disclosed; Lead/Manager title does not meet Keith's undisclosed-compensation exception
- Travel: Not disclosed
- Positioning track: Technical manager
- Fit outcome: FAIL — 87%

## Direct-match strengths

Cloud-native modernization, AI-assisted development, engineering management, Agile execution, RAG, MCP, context engineering, governance, microservices, APIs, event-driven architecture, DevOps, CI/CD, risk, and distributed-team leadership.

## Hard or material gaps

Hard compensation-screen failure: no annual range is disclosed and the title is Lead/Manager, while Keith only advances undisclosed-compensation roles titled Director, Senior Director, Vice President, or Chief. Remote eligibility is also unverified, although the high technical score would otherwise preserve it as a caveat.

## Evidence map

1. Own cloud-native modernization delivery (weight 3, evidence 3/3) — Direct modernization, architecture, production, risk, and delivery ownership.
2. Lead distributed cross-functional engineering teams (weight 3, evidence 3/3) — Direct teams spanning engineering, data, platform, QA, product, and security.
3. AI-assisted development tools (weight 3, evidence 3/3) — Direct practical use of agentic coding and AI-enabled engineering workflows.
4. RAG, MCP, context engineering, and governance (weight 3, evidence 3/3) — Direct current production experience.
5. Microservices, APIs, cloud, and event-driven systems (weight 3, evidence 3/3) — Direct architecture and implementation evidence.
6. Agile, CI/CD, quality, release, and stakeholder management (weight 3, evidence 3/3) — Direct accountable management and engineering practice.
7. Required leadership tenure (weight 2, evidence 3/3) — Exceeds the engineering and management thresholds.
8. Eligible compensation evidence (weight 3, evidence 0/3) — No range is disclosed for a Lead/Manager-title role.

## Keyword diagnostic

Near-direct modernization, AI-SDLC, architecture, governance, and engineering-leadership match; rejected by undisclosed compensation at Lead/Manager level.

## Full normalized job description

Position: AI Modernization Engineering Manager
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
Work Authorization:
U.S. Citizens and candidates authorized to work in the U.S. are encouraged to apply. Sponsorship is not available at this time.
Key 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.
Required Experience
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.
Hands-on experience with AI-assisted development tools such as:
GitHub Copilot
Claude Code
Cursor
Windsurf
Similar Agentic Coding Platforms
Working knowledge of:
AI Governance
Spec-Driven Development (SDD)
Context Engineering
RAG (Retrieval-Augmented Generation)
MCP (Model Context Protocol)
Strong stakeholder management and executive communication skills.

## Artifact metadata

- Resume: Not generated because the fit gate returned FAIL.
- Cover letter: Not generated because the fit gate returned FAIL.
- LinkedIn note: Not generated for a FAIL role.
- Google Drive used: No