Job Title: Engineering Manager – AI-Enabled PODs
Experience: 10+ years of software engineering experience
Work Location: MN – Onsite/Hybrid as required by the client
Role Summary
The Engineering Manager is a technology leader responsible for the successful execution and delivery of AI-enabled PODs. These are small, highly autonomous teams of 3–5 engineers that leverage AI to accelerate software development and delivery. This role oversees multiple AI-enabled POD teams and is accountable for delivery outcomes, engineering quality, team development, and operational reporting.
The ideal candidate has a strong software engineering background, hands-on experience with AIDLC frameworks (such as SpecKit or equivalent), proficiency with AI-enabled development tools including GitHub Copilot, Codex, Claude Code, and enterprise-approved ChatGPT, and a passion for leading teams in an AI-first development environment. This role requires close collaboration with Product, Architecture, Quality Engineering, Performance Testing, and other cross-functional partners to deliver high-quality software solutions.
Primary Responsibilities
• Provide technical and thought leadership across AI POD teams, including Software Engineers, AI Engineers, Quality Engineers, DevOps Engineers, and SREs.
• Lead the adoption of AIDLC and flow-based delivery practices, transitioning teams from traditional Scrum-based development models to AI-enabled PODs.
• Own delivery execution, quality outcomes, and operational reporting across assigned AI PODs.
• Conduct and oversee technical design reviews, code reviews, and architecture discussions.
• Serve as the primary escalation point for delivery, quality, and execution challenges.
• Partner with Architecture teams to define scalable and maintainable technical solutions.
• Collaborate with Product Managers and Product Owners to align engineering delivery with business objectives, product vision, and key metrics.
• Establish and enforce software engineering standards and practices, including code quality, testing, security, and maintainability.
Required Qualifications
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 10+ years of software engineering experience, including application development.
• 2+ years of people leadership and team management experience.
• 5+ years of hands-on software development experience.
• 1+ year of experience using AI-assisted development tools such as GitHub Copilot, Codex, Claude Code, or similar platforms to design, build, test, document, and deliver production software.
• Experience delivering digital products and platforms, including web, eCommerce, or consumer-facing applications.
• Strong experience with modern front-end technologies such as Angular, React, JavaScript/TypeScript, and Java-based back-end development.
• Experience building and deploying AI/ML solutions using machine learning models and/or large language models (LLMs).
• Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform, with Azure preferred.
• Excellent written and verbal communication skills.
• Strong leadership, collaboration, coaching, and servant-leadership skills.
Key Skills & Technologies
AI-Enabled Development | AIDLC | Spec-Driven Development | GitHub Copilot | Codex | Claude Code | Enterprise AI Tools | Software Engineering Leadership | AI/ML | LLMs | Angular | React | JavaScript/TypeScript | Java | Azure | AWS | Google Cloud Platform | DevOps | SRE | Quality Engineering | Technical Architecture | CI/CD | Agile/Flow-Based Delivery
Additional Information
The role requires a technology leader who can balance hands-on engineering expertise with people leadership, delivery ownership, and cross-functional collaboration. The Engineering Manager will help drive the transformation toward AI-first software engineering practices while maintaining strong standards for quality, security, scalability, and maintainability.
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