Innovation & Engineering Efficiency Leader – AI, ML, LLMs
Job Description:
• Lead and scale the AI, ML, and LLM engineering teams, fostering innovation, technical excellence, and high performance
• Define and execute the AI and advanced analytics roadmap, from ideation through production deployment
• Drive the implementation of state-of-the-art technologies, including generative AI, automation, and intelligent systems
• Partner with engineering, IT, and business leaders to embed AI-driven solutions into core engineering and operational processes
• Lead organizational efficiency initiatives, including process optimization, automation, and productivity improvement programs
• Identify opportunities to improve engineering efficiency, quality, and speed through technology and data-driven insights
• Establish best practices for AI governance, scalability, security, and ethical use
• Manage budgets, vendors, and technology partners related to AI and digital transformation
• Mentor and develop technical leaders and teams, building a strong innovation culture
Requirements:
• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field (Master’s degree preferred)
• Strong background in IT and software engineering, with proven experience implementing AI, ML, and LLM-based solutions in production environments
• Demonstrated leadership experience managing high-performing technical teams
• Solid understanding of cloud platforms, data architecture, MLOps, and AI lifecycle management
• Experience leading digital transformation or organizational efficiency initiatives
• Strong stakeholder management and communication skills, with the ability to translate technical concepts into business value.
• Experience with generative AI platforms, foundation models, and LLM orchestration frameworks (Preferred)
• Knowledge of process excellence methodologies (Lean, Six Sigma, Agile, or similar) (Preferred)
• Background in engineering, industrial, or technology-driven organizations (Preferred)
• Experience working in global or matrixed organizations (Preferred)
Benefits:
• Relocation Assistance Provided: No
Apply tot his job
Apply To this Job
• Lead and scale the AI, ML, and LLM engineering teams, fostering innovation, technical excellence, and high performance
• Define and execute the AI and advanced analytics roadmap, from ideation through production deployment
• Drive the implementation of state-of-the-art technologies, including generative AI, automation, and intelligent systems
• Partner with engineering, IT, and business leaders to embed AI-driven solutions into core engineering and operational processes
• Lead organizational efficiency initiatives, including process optimization, automation, and productivity improvement programs
• Identify opportunities to improve engineering efficiency, quality, and speed through technology and data-driven insights
• Establish best practices for AI governance, scalability, security, and ethical use
• Manage budgets, vendors, and technology partners related to AI and digital transformation
• Mentor and develop technical leaders and teams, building a strong innovation culture
Requirements:
• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field (Master’s degree preferred)
• Strong background in IT and software engineering, with proven experience implementing AI, ML, and LLM-based solutions in production environments
• Demonstrated leadership experience managing high-performing technical teams
• Solid understanding of cloud platforms, data architecture, MLOps, and AI lifecycle management
• Experience leading digital transformation or organizational efficiency initiatives
• Strong stakeholder management and communication skills, with the ability to translate technical concepts into business value.
• Experience with generative AI platforms, foundation models, and LLM orchestration frameworks (Preferred)
• Knowledge of process excellence methodologies (Lean, Six Sigma, Agile, or similar) (Preferred)
• Background in engineering, industrial, or technology-driven organizations (Preferred)
• Experience working in global or matrixed organizations (Preferred)
Benefits:
• Relocation Assistance Provided: No
Apply tot his job
Apply To this Job