Innovation & Engineering Efficiency Leader – AI, ML, LLMs

🌍 Remote, USA 🚀 Full-time 🕐 Posted Recently

Job Description

    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

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