Software AI Engineering Group Leader

Responsibilities

• Oversee all steps of AI system development life cycles to assure conformance with established standards.
• Provides direction and assistance to complete analysis of AI software technology projects and programs.
• Defines AI project requirements by identifying project milestones, forming project team, establishing project budget, developing schedules, assigning, prioritizing and monitoring work, implementing productivity standards, and resolving operations problems.
• Develop long and short-range strategic operating plans for the implementation and deployment of AI software services.
• Monitor AI project progress by tracking activity, resolving problems, publishing progress reports, and recommending actions.
• Determine appropriate staffing for assigned AI software services. Directs the selection and training of personnel within the limits of organization administrative policy.
• Improve systems performance by investigating problems, developing specifications, identifying trends in technology, and recommending solutions.
• Responsible for Service Level Agreements or Operational Level Agreements for assigned AI software services.
• Manages the performance of direct reports by defining accountabilities, establishing performance objectives, providing feedback and guidance, and ensuring that all policies are understood and followed.
• Formulates and defines specifications for complex AI software applications.
• Read and follow the Underwriters Laboratories Code of Conduct, and follow all physical and digital security practices
• Performs other duties as directed.
  
  

• University degree in Computer Science or a related discipline.
• 12–15+ years of professional experience in software engineering or AI system development.
• At least 3+ years of relevant experience in AI technologies (GenAI, LLMs, agentic workflows), including team management and leadership responsibilities.
• Proven ability to lead cross‑functional teams, deliver production‑grade AI systems, and drive innovation at scale.
• Working experience in leading AI software projects & programs and managing AI software teams.
• Expert technical and/or AI software development experience.
• Expert knowledge in Enterprise AI application development or specific program language requirements of AI software work.