Innovation & Engineering Efficiency Leader (AI, ML & LLMs)

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

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

Knowledge of process excellence methodologies (Lean, Six Sigma, Agile, or similar)

Background in engineering, industrial, or technology-driven organizations

Experience working in global or matrixed organizations