# Confiar Services — AI Modernization Engineering Manager

- Generated: 2026-09-15 10:48:11 PM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4466513442/
- Provider: LinkedIn
- Posted: approximately 2026-09-15 10:48 AM EDT (from '12 hours ago')
- Elapsed since posting: represented by the provider's relative posting label and approximate Eastern timestamp when available
- Applicants: 47 applicants
- Work model/location: Remote — United States
- Compensation: Not disclosed; Manager title does not meet Keith's undisclosed-compensation exception
- Travel: Not disclosed
- Positioning track: Technical manager
- Fit outcome: FAIL — 87%

## Direct-match strengths

Application modernization, AI-assisted development, engineering leadership, RAG, MCP, governance, microservices, APIs, event-driven architecture, Agile, DevOps, CI/CD, and distributed teams.

## Hard or material gaps

Hard compensation-screen failure: the role discloses no annual range and carries a Manager title. The description is materially the same modernization mandate Keith previously overrode for AddSource, but that company-specific override does not automatically apply to this separate posting.

## Evidence map

1. Enterprise application modernization (weight 3, evidence 3/3) — Direct cloud-native modernization and platform delivery.
2. Lead cross-functional engineering teams (weight 3, evidence 3/3) — Direct software, data, platform, security, QA, and product leadership.
3. AI-assisted development and AI-first SDLC (weight 3, evidence 3/3) — Direct agentic coding and production engineering practice.
4. RAG, MCP, context engineering, and governance (weight 3, evidence 3/3) — Direct current experience.
5. Microservices, APIs, events, DevOps, and CI/CD (weight 3, evidence 3/3) — Direct architecture and implementation evidence.
6. 15+ years engineering and 5+ management (weight 2, evidence 3/3) — Substantially exceeds both thresholds.
7. Eligible compensation evidence (weight 3, evidence 0/3) — No range is disclosed for a Manager-title role.

## Keyword diagnostic

Near-direct modernization and AI-SDLC alignment; rejected solely by undisclosed compensation for a Manager title.

## Full normalized job description

AI Modernization Engineering Manager
Location:
Remote
Job Summary
We are seeking an experienced
AI Modernization Engineering Manager
to lead enterprise application modernization initiatives, drive AI-assisted software engineering, and manage cross-functional engineering teams. The ideal candidate will have strong experience in
cloud modernization, microservices, APIs, event-driven architecture, Agile delivery, DevOps, and AI-enabled software development
.
This role will be responsible for driving the adoption of AI-first engineering practices, ensuring delivery excellence, and partnering with architects and technical stakeholders to execute large-scale modernization programs.
Key Responsibilities
Own delivery, quality, execution, and release outcomes for assigned modernization workstreams.
Lead and mentor cross-functional teams including
developers, QA engineers, Business Analysts, and Technical Leads
.
Drive Agile/Scrum practices including sprint planning, backlog management, dependency tracking, risk management, and release readiness.
Promote adoption of
AI-assisted development tools and AI-enabled SDLC practices
across engineering teams.
Establish and enforce AI governance standards covering approved tools, prompt practices, code reviews, human approvals, security, privacy, and compliance.
Track AI adoption, engineering productivity, velocity improvements, quality metrics, and overall value realization.
Partner with
Client Architects, Enterprise Architects, and Technical Leaders
to align delivery with target-state architecture.
Lead modernization initiatives involving
cloud migration, microservices, APIs, event-driven architecture, and cloud-native platforms
.
Ensure AI-generated code and artifacts meet organizational
security, privacy, licensing, compliance, and coding standards
.
Identify delivery risks, manage escalations, and drive mitigation plans with key stakeholders.
Drive adoption of
AI-first delivery models, Spec-Driven Development, Context Engineering, and modern engineering practices
.
Manage distributed/global engineering teams and ensure effective communication across technical and business stakeholders.
Required Skills & Experience
15+ years
of experience in software engineering, application development, or enterprise technology delivery.
5+ years of engineering leadership/management
experience delivering complex enterprise software programs.
Strong experience with
people management, coaching, performance management, stakeholder management, and team leadership
.
Proven experience leading
application modernization and digital transformation
initiatives.
Strong knowledge of
cloud migration, microservices, APIs, event-driven architectures, and cloud-native development
.
Strong understanding of
DevOps, CI/CD, software engineering best practices, quality engineering, and release management
.
Hands-on/practical experience with AI-assisted development tools such as
GitHub Copilot, Claude Code, Cursor, or similar agentic coding platforms
.
Working knowledge of
AI Agents, RAG, MCP, Context Engineering, Spec-Driven Development, and AI governance
.
Ability to work closely with architects and technical stakeholders and translate architecture into executable delivery plans.
Strong experience in
delivery governance, execution management, quality, risk management, and release governance
within large-scale transformation programs.
Excellent communication, leadership, problem-solving, and stakeholder management 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