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Information Technology 🏢 Full Time ⭐️ Verified

AI Strategy Director

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we build the AI-powered future of 2026. As our AI Strategy Director, you'll architect transformative AI initiatives that redefine industry standards and drive exponential growth. We're seeking a visionary leader to bridge cutting-edge research with market-ready solutions, shaping how businesses and societies leverage artificial intelligence in the coming decade.

This role offers unparalleled influence in a dynamic, forward-thinking environment where your expertise will directly impact product roadmaps, ethical AI frameworks, and global partnerships. If you're passionate about democratizing AI while maintaining rigorous safety standards, this is your opportunity to leave an indelible mark on the next technological revolution.

Responsibilities

  • Develop and execute multi-year AI strategy aligned with 2026 market trends and organizational goals
  • Lead cross-functional teams in building scalable AI solutions for enterprise clients
  • Drive innovation in generative AI, machine learning, and neural networks
  • Establish ethical AI governance frameworks and responsible deployment protocols
  • Forge strategic partnerships with tech leaders, research institutions, and policymakers
  • Translate complex AI capabilities into compelling business value propositions
  • Mentor AI talent and foster a culture of continuous learning and experimentation

Qualifications

  • 15+ years in AI/ML with 5+ years in executive strategy leadership
  • Proven track record of shipping production AI systems at scale
  • Deep expertise in transformer architectures, LLMs, and generative AI
  • Experience with AI ethics, bias mitigation, and regulatory compliance (GDPR, CCPA)
  • Exceptional communication skills for technical and non-technical stakeholders
  • PhD in Computer Science, AI, or related field (or equivalent experience)
  • Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
  • Strong background in M&A or strategic partnerships within the AI ecosystem

Required Skills

AI Strategy Machine Learning Generative AI Neural Networks Ethical AI Product Strategy Executive Leadership LLMs Transformer Architectures AI Governance Strategic Partnerships

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