Software Engineering Manager

Our client is seeking an experienced AI Engineering Manager to lead an internal software development team responsible for building business applications, automation, and AI-powered solutions that improve operations across the organization. Reporting directly to the CTO, this position combines technical leadership with people management. You'll lead software delivery, guide architecture decisions, establish engineering best practices, and drive the adoption of AI technologies that create measurable business value. Responsibilities Lead, mentor, and grow a team of software developers. Manage hiring, coaching, performance, and career development. Foster a collaborative, high-performing engineering culture. Software Delivery Own software delivery from planning through deployment. Manage sprint planning, release processes, and development workflows. Balance speed, quality, and execution while aligning work with business priorities. Roadmap & Business Partnership Partner with executive leadership to prioritize initiatives and execute the development roadmap. Serve as the primary technology partner for Operations, Engineering, Procurement, Finance, and IT. Translate business needs into scalable technical solutions. AI & Technical Leadership Lead adoption of AI technologies, AI-assisted development, and intelligent automation. Evaluate emerging AI tools, frameworks, and LLM technologies. Build AI agents and workflow automation that improve business operations. Establish engineering standards, architecture, and code quality while providing hands-on technical guidance. Drive user adoption, gather feedback, and continuously improve delivered solutions. Measure success through business impact and operational efficiency. Qualifications Experience 5+ years of professional software development experience. 2+ years leading or managing software engineering teams. Experience delivering internal applications, web applications, system integrations, or operational software. Experience managing agile delivery, sprint planning, and release management. Manufacturing or industrial experience is preferred. Technical Skills Experience with REST APIs, SQL, relational databases, and system architecture. Hands-on experience with AI technologies, including LLM APIs, AI agent frameworks, RAG, tool/function calling, and workflow automation. Demonstrated ability to evaluate and implement emerging AI technologies. Leadership Proven ability to develop engineering talent and lead high-performing teams. Excellent communication skills with technical and business stakeholders. Comfortable in a fast-paced environment with evolving priorities. Education Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience. Why Join? Report directly to the CTO with significant influence on technology strategy. Lead AI initiatives that deliver measurable business impact. Shape engineering practices while growing a talented development team. Build solutions that are used every day across the organization. #J-18808-Ljbffr CornerStone Technology Talent Services