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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Strategy Lead

Nexus Futuristics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Nexus Futuristics at the forefront of technological evolution. We're seeking a visionary 2026 AI Strategy Lead to architect our next-generation AI framework that will redefine industry standards. This role demands a blend of technical expertise and strategic foresight to shape our AI roadmap for 2026 and beyond. You'll collaborate with C-suite executives, lead cross-functional innovation sprints, and pioneer solutions that merge quantum computing with neural networks. If you thrive at the intersection of bleeding-edge technology and business transformation, this is your opportunity to build the future.

Responsibilities

  • Architect and execute the 2026 AI strategy roadmap, aligning with long-term business objectives
  • Lead R&D initiatives in quantum machine learning and generative AI systems
  • Drive cross-functional collaboration between engineering, product, and ethics teams
  • Conduct market research to identify emerging AI trends and competitive threats
  • Present strategic vision to stakeholders and secure executive buy-in
  • Mentor a team of AI specialists and foster innovation culture
  • Ensure ethical AI compliance and responsible innovation practices

Qualifications

  • 10+ years in AI/ML strategy with 5+ years in leadership roles
  • Expertise in quantum computing algorithms and generative AI architectures
  • Proven track record of scaling AI initiatives across Fortune 500 companies
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML)
  • Deep understanding of ethical AI frameworks and regulatory landscapes
  • MSc/PhD in Computer Science, AI, or related field
  • Exceptional communication skills with executive presence
  • Experience with agile methodologies and product lifecycle management

Required Skills

AI Strategy Quantum Computing Generative AI Machine Learning Neural Networks Strategic Planning Ethical AI R&D Leadership Futurism

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