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

We are seeking an Innovation & Engineering Efficiency Leader to drive the adoption and implementation of cutting-edge technologies across our engineering organization. This role will lead our AI Machine Learning and Large Language Model (LLM) initiatives while also being responsible for organizational efficiency and continuous improvement programs.
The ideal candidate is a technology-focused leader with strong hands-on experience in IT AI/ML solutions and advanced analytics combined with a strategic mindset to transform how engineering teams operate collaborate and deliver value.

Essential Responsibilities

• 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

• Bachelors degree in Computer Science Engineering Information Technology or a related field (Masters 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

#LI-Remote - This is a remote position