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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Strategy Lead

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join QuantumLeap Technologies at the forefront of technological evolution as we pioneer the next generation of AI-driven solutions. As our 2026 AI Strategy Lead, you'll architect the blueprint for transformative AI integration that will redefine industries. We're seeking a visionary leader who thrives at the intersection of innovation and execution, driving our mission to create ethical, scalable AI systems that empower humanity. This role offers unparalleled opportunities to shape the future of technology while working alongside world-class researchers and engineers in our state-of-the-art San Francisco headquarters.

Responsibilities

  • Develop and execute the 2026 AI roadmap, aligning with corporate vision and market trends
  • Lead cross-functional teams in designing and implementing cutting-edge AI solutions
  • Drive strategic partnerships with research institutions and industry leaders
  • Establish ethical AI governance frameworks and compliance standards
  • Present strategy to C-suite and board members with data-driven insights
  • Mentor senior AI engineers and foster a culture of innovation
  • Analyze emerging AI technologies to identify competitive advantages

Qualifications

  • 10+ years in AI/ML strategy with 5+ years in leadership roles
  • Proven track record of scaling AI initiatives in Fortune 500 environments
  • Expertise in generative AI, neural networks, and ethical AI frameworks
  • Strong background in product development lifecycle and Go-to-Market strategies
  • Advanced degree in Computer Science, AI, or related field
  • Exceptional communication skills with ability to translate technical concepts
  • Published research in top-tier AI conferences or journals
  • Experience with AWS/GCP/Azure AI services and MLOps

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Generative AI Neural Networks AI Ethics Product Management MLOps Data Science

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