
Innovation & Engineering Efficiency Leader – AI, ML, LLMs
Switzerland Global Enterprise
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
Tech Stack
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AIMLLLMgenerative AIautomationMLOpsdata architectureAI lifecycle managementprocess optimizationdigital transformation
Soft Skills
leadershipstakeholder managementcommunicationmentoringinnovation cultureorganizational efficiencytechnical excellencehigh performancecollaborationproblem-solving