Manager, Software Engineering - AI Tools

AI2IO helps organizations navigate the complex landscape of technology solutions, from foundational IT services and system support to advanced software integration, automation, and cutting-edge AI implementations. Our expertise spans IT infrastructure management, custom software development, seamless system integrations, and optimization of low-code business automation, empowering clients to maximize their existing technology investments.

Join us and be part of a team where your voice matters, your work makes an impact, and your growth is a shared priority.

Position Title

Manager, Software Engineering

Position Location

Remote - work virtually from anywhere in the United States

Reports To

Director, Software Engineering

J ob Summary

AI2IO is seeking a Manager, Software Engineering to lead the people, capability, and operating environment behind a growing AI platform and agent ecosystem serving architecture, engineering, construction, commissioning, design, proposal, and related business workflows. The team is building governed AI agents, semantic and knowledge-graph capabilities, retrieval and data pipelines, and shared platform services informed by data available within the QCS Ecosystem.

This is a formal people-management role for all engineers and AI Engineer Technical Leads on the AI Tools team. Candidates must bring demonstrated professional experience leading, managing, architecting, or delivering production AI or LLM platforms or applications, with broad credibility and demonstrated depth across several relevant AI disciplines. The role develops people, builds workforce capability, improves team clarity, and helps translate strategy and architecture into context the team and broader organization can understand without replacing Technical Lead, architecture, product, analysis, or delivery authority.

E ssential Functions

This role grows from complete ownership of people leadership and the AI Tools delivery environment toward broader workforce strategy, specialized capability development, management-system improvement, and organizational leadership across a maturing AI engineering function. As the organization grows, expand impact through multi-team capability planning, development of technical and people leaders, management-system improvement, workforce strategy, and resolution of organizational challenges beyond the assigned specialty.

Lead and Develop Engineers

Serve as the formal people manager for all engineers and Technical Leads assigned to the specialty team through regular one-on-ones, clear expectations, timely feedback, performance reviews, professional-development planning, and credible support for every direct report.

Provide recognition and development feedback throughout the year and address sustained performance concerns through clear expectations, documented support, follow-through, and appropriate organizational processes.

Connect individual goals to meaningful assignments, coaching, learning, mentoring, and increasing ownership without promising advancement before readiness is demonstrated.

Partner with Technical Leads to understand technical contribution and development needs while retaining accountability for career evaluation, formal performance decisions, employee relations, and team health.

Build Team Capability and Leadership Depth

Maintain a current view of capacity, critical skills, experience distribution, key-person dependencies, succession risk, and staffing needs.

Identify capability gaps and coordinate learning, pairing, assignments, mentoring, hiring, and onboarding plans.

Develop future Technical Leads and management candidates through scoped assignments, calibrated feedback, explicit readiness criteria, and partnership with current leaders.

Reduce leadership and knowledge-continuity risk through distributed ownership, documentation, coverage, and succession options.

Own the Sustainable Delivery Environment