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Information Technology 🏢 Full Time ⭐️ Verified

AI Strategy Director

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join Nexus Innovations at the forefront of the 2026 technological revolution. We're seeking a visionary AI Strategy Director to architect our next-generation intelligence framework. This pivotal role shapes how businesses and societies interact with AI by 2026, driving ethical innovation and sustainable growth. You'll lead cross-functional teams to develop cutting-edge AI solutions that redefine industry standards while ensuring responsible implementation.

Our San Francisco hub offers unparalleled access to Silicon Valley's ecosystem, with competitive compensation, equity packages, and comprehensive benefits. Work alongside Nobel laureates and industry pioneers to solve humanity's most complex challenges through AI.

Responsibilities

  • Develop and execute 2026-forward AI roadmaps aligned with global market trends
  • Lead cross-functional teams of ML engineers, data scientists, and domain experts
  • Architect ethical AI governance frameworks ensuring compliance with emerging regulations
  • Drive innovation in generative AI, quantum computing integration, and neural interfaces
  • Secure $10M+ in strategic partnerships for AI infrastructure development
  • Present AI strategy to C-suite executives and board members quarterly
  • Author industry whitepapers on AI's societal impact by 2026

Qualifications

  • 15+ years in AI/ML with 5+ years in executive strategy roles
  • PhD or equivalent in Computer Science, AI, or related field
  • Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Proven track record scaling AI teams to 100+ members
  • Expertise in federated learning, edge AI, and explainable AI frameworks
  • Deep understanding of global AI governance landscape (EU AI Act, US AI Bill of Rights)
  • Fluency in Python, TensorFlow/PyTorch, and MLOps ecosystems

Required Skills

AI Strategy Machine Learning Ethics in AI Quantum Computing Generative AI Neural Interfaces MLOps Federated Learning AI Governance

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