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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Strategy Director

Nexus Futuristics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the future as Nexus Futuristics' 2026 AI Strategy Director. We're pioneering the next frontier of artificial intelligence and need a visionary leader to architect our roadmap for 2026. This role sits at the intersection of cutting-edge AI research and business strategy, driving initiatives that will redefine industries. You'll lead cross-functional teams, foster innovation ecosystems, and ensure our AI solutions align with global ethical standards while delivering exponential business value.

Join us in building the intelligent infrastructure of tomorrow. We offer unparalleled opportunities to work with Nobel laureates, publish groundbreaking research, and influence policy frameworks. Your work will directly impact how humanity interacts with AI in the coming decade.

Responsibilities

  • Develop and execute the 2026 AI strategy roadmap, aligning with corporate vision and emerging tech trends
  • Lead cross-disciplinary teams of ML engineers, data scientists, and domain experts
  • Establish governance frameworks for ethical AI deployment and bias mitigation
  • Forge strategic partnerships with academia, government, and industry leaders
  • Drive innovation in quantum-AI integration and next-gen neural architectures
  • Present findings to C-suite executives and external stakeholders
  • Monitor global AI policy developments and ensure regulatory compliance

Qualifications

  • PhD in AI, Machine Learning, or related field with 10+ years industry experience
  • Proven track record in scaling AI initiatives in Fortune 500 environments
  • Expertise in generative AI, reinforcement learning, and explainable AI
  • Deep understanding of AI ethics, safety protocols, and regulatory landscapes
  • Experience leading global teams and managing $50M+ AI budgets
  • Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
  • Strong background in M&A and technology commercialization

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Ethical AI Quantum Computing Neural Networks Data Science AI Governance Generative AI Reinforcement Learning

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