Manager, AI-Driven Software Engineering

Required Skills & Experience

7+ years of professional software development experience 2+ years of people management/team leadership experience Strong hands-on C# / ASP.NET Core experience Entity Framework Core SQL Server / Azure SQL React or Angular Azure DevOps, CI/CD pipelines, and cloud-native Azure deployment experience Experience partnering with Engineering, Product, and business stakeholders within Agile environments Proven ability to lead, develop, and retain engineering teams Strong coaching, communication, organizational, and problem-solving skills Hands-on experience with AI-assisted development tools such as GitHub Copilot, Claude, or Azure OpenAI Ability to coach engineers on prompt engineering, evaluating AI-generated output, and responsible AI use Experience with agentic/AI-accelerated engineering delivery models or a strong understanding of how these workflows affect engineering responsibilities and quality ownership Bachelor’s in Computer Science, Software Engineering, related discipline, or equivalent professional experienc

Nice to Have Skills & Experience

Architecture and technical planning experience Engineering metrics and delivery-health experience Experience establishing AI development standards and prompt-engineering practices Experience identifying and managing technical debt Strong player-coach background combining people leadership with continued technical involvement

Lead, mentor, and develop software engineers across experience levels Conduct 1:1s, provide feedback, and support career development Partner with recruiting to attract engineering talent aligned with an AI-native development strategy Own team delivery commitments and software quality Participate in sprint planning, backlog refinement, and prioritization Remove engineering blockers and manage dependencies Monitor velocity, predictability, and overall delivery health Participate in architecture discussions, technical planning, and code reviews Maintain engineering standards across .NET, APIs, databases, front-end development, and Azure DevOps CI/CD Drive adoption of GitHub Copilot, Claude, and Azure OpenAI Coach engineers on working effectively with AI agents while maintaining human ownership of architecture, judgment, and quality Track engineering metrics such as production incidents, defect trends, pipeline health, velocity, and system performance Communicate technical decisions, risks, tradeoffs, and engineering health to leadership and stakeholders

Job Description

Insight Global is seeking a Manager, AI-Driven Software Engineering for a top legal-tech and financial solutions client. This individual will serve as a player-coach, leading and developing a software engineering team while remaining actively connected to architecture, code quality, and technical delivery. The role will drive AI-native engineering practices across a Microsoft/Azure environment, leveraging tools such as GitHub Copilot, Claude, and Azure OpenAI to create an agentic development model where AI accelerates execution and engineers retain ownership of judgment, architecture, and quality. This is an excellent opportunity for an experienced engineering leader who wants to be at the forefront of AI-driven software delivery