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AI Futurist Strategist

InnovateX Labs
San Francisco
Estimated Salary
USD 175.000 – USD 225.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join InnovateX Labs at the forefront of technological evolution as we shape the future of AI-driven industries. We seek a visionary AI Futurist Strategist to lead our 2026 technology roadmap, transforming cutting-edge research into actionable business strategies. This role demands a blend of technical expertise, strategic foresight, and leadership to navigate the rapidly evolving landscape of artificial intelligence, quantum computing, and human-machine collaboration.

Responsibilities

  • Develop and execute a comprehensive 2026 AI innovation strategy aligned with market trends and emerging technologies
  • Lead cross-functional teams in prototyping and scaling next-gen AI solutions for enterprise clients
  • Conduct horizon scanning to identify breakthrough technologies with 3-5 year commercial viability
  • Collaborate with C-suite executives to integrate AI transformation into core business operations
  • Present strategic insights at industry conferences and publish thought leadership papers
  • Manage $5M+ R&D budget for experimental AI and quantum computing initiatives
  • Mentor junior strategists in future-proofing methodologies and ethical AI frameworks

Qualifications

  • Master's degree in Computer Science, AI, or related field; PhD preferred
  • 8+ years experience in AI research, product strategy, or technology consulting
  • Proven track record of launching AI products with $10M+ revenue impact
  • Deep expertise in machine learning architectures, NLP, and generative AI systems
  • Exceptional understanding of quantum computing applications and blockchain ecosystems
  • Certification in Futures Thinking or Strategic Foresight (e.g., WFS, APF)
  • Published author in top-tier AI/tech journals or conference proceedings
  • Experience scaling teams from 5 to 50+ technologists in high-growth environments

Required Skills

AI Strategy Machine Learning Quantum Computing Blockchain Futures Thinking Ethical AI Product Innovation R&D Leadership

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