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

Job Description Summary

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.

Job Description

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

Required Qualifications

• 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

Preferred Qualifications

• 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

Additional Information

Relocation Assistance Provided: No

- This is a remote position

Originally posted on Himalayas