AI Modernization Engineering Manager
Title: AI Modernization Engineering Manager Location: Remote (US) Duration: Long Term Experience Required: 15+ Years AI Modernization Engineering Manager responsible for leading application modernization programs, driving AI-assisted software delivery, managing cross-functional engineering teams, and ensuring successful execution of cloud-native, API-first, and event-driven transformation initiatives. Responsibilities: - Own delivery, quality, and execution outcomes for a designated modernization pod/workstream within the overall program. Lead and mentor cross-functional teams including developers, QA engineers, business analysts, and technical leads. Drive Agile/Scrum ceremonies, sprint planning, backlog management, dependency tracking, risk management, and release readiness for the pod. Promote and govern the adoption of AI-assisted development practices, AI coding agents, and AI-enabled SDLC processes within the pod. Define and enforce AI governance controls including approved tool usage, prompt standards, review processes, and human approval checkpoints. Establish productivity baselines and track AI adoption, velocity improvements, quality metrics, and value realization. Partner with client architects, enterprise architects, and technical leaders to align implementation decisions with target-state architecture. Ensure AI-generated artifacts comply with security, privacy, licensing, compliance, and coding standards. Identify delivery risks and escalations, proactively driving mitigation plans and stakeholder communication. Lead modernization efforts involving cloud migration, microservices, APIs, and event-driven architectures. Drive adoption of AI-first delivery models, Spec-Driven Development, and modern engineering practices across the pod. Skills: - AI Modernization Engineering Manager | Application Modernization | AI-Assisted Development | Cloud Migration | Microservices | API-First Architecture | Event-Driven Architecture | Agile Delivery | DevOps | AI Governance Mandatory skills 12+ years of experience in software engineering, application development, or enterprise technology delivery. 5+ years of experience leading engineering teams and delivering complex software projects using Agile methodologies. Strong people management experience with responsibility for team leadership, coaching, performance management, and stakeholder engagement. Proven experience leading application modernization initiatives involving cloud migration, microservices, APIs, and event-driven architectures. Strong understanding of software engineering best practices, DevOps, CI/CD, quality engineering, and release management. Practical experience with AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor, or similar agentic coding platforms. Working knowledge of AI agent frameworks, Spec-Driven Development, Context Engineering, RAG, MCP, and AI governance concepts. Ability to engage effectively with client architects and technical stakeholders while translating architectural direction into executable delivery plans. Strong experience managing delivery, execution, quality, risk management, and release governance within large-scale transformation programs. Good to Have Skills Experience leading large-scale enterprise modernization and digital transformation programs. Exposure to AI-first engineering operating models and AI-enabled SDLC frameworks. Experience governing enterprise AI adoption, AI compliance, and AI security practices. Experience working with cloud-native architectures across AWS, Azure, or hybrid cloud environments. Healthcare domain experience. Experience managing distributed and global engineering teams. Note: VeeRteq Solutions is an Equal Opportunity Employer