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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Strategist

Nexus Innovations Group
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Innovations Group at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an AI Futurist Strategist to architect the next generation of intelligent systems that will redefine industries. This role blends visionary thinking with technical execution, requiring you to map AI trajectories, develop predictive models, and lead cross-functional teams in translating futuristic concepts into scalable products.

You will collaborate with quantum computing researchers, neuroscientists, and sustainability experts to build autonomous systems that solve complex global challenges. Our San Francisco hub offers unparalleled resources and a culture where bold ideas thrive.

Responsibilities

  • Design AI roadmaps for 2026-2030, aligning with emerging tech paradigms
  • Lead R&D initiatives in generative AI, neuromorphic computing, and ethical AI frameworks
  • Develop predictive models for societal impact of autonomous systems
  • Partner with C-suite executives to integrate AI into corporate strategy
  • Present findings at global tech summits and publish thought leadership
  • Mentor next-gen AI talent through innovation labs

Qualifications

  • PhD in AI, Computer Science, or related field with 8+ years experience
  • Proven track record in deploying large-scale ML models (GPT-4+, Gemini Ultra)
  • Expertise in quantum machine learning and neural-symbolic integration
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML)
  • Deep understanding of AI ethics, bias mitigation, and governance frameworks
  • Experience with futuristic technologies (AGI, brain-computer interfaces)
  • Certification in AI Strategy from MIT Stanford or equivalent

Required Skills

AI Strategy Quantum Computing Generative AI Predictive Modeling Neuromorphic Engineering AI Ethics Machine Learning Neural Networks

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