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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Futurist Strategist

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join Nexus Innovations Inc. at the forefront of tomorrow's digital revolution. We're seeking a visionary 2026 AI Futurist Strategist to architect the next generation of intelligent systems that will redefine industries by 2026. This role blends cutting-edge AI research with strategic foresight to develop actionable roadmaps for our quantum computing and autonomous infrastructure initiatives. You'll collaborate with Nobel laureates and industry disruptors in our Palo Alto R&D hub, shaping the technological landscape of the next decade.

What you'll achieve: Design scalable AI frameworks for 2026-era challenges, lead cross-disciplinary research pods, and publish breakthrough papers in Nature and IEEE journals. Your work will directly influence product roadlines for our autonomous fleet and next-gen healthcare AI systems.

Responsibilities

  • Develop 5-year AI strategic roadmaps aligned with 2026 technological inflection points
  • Lead quantum machine learning research for autonomous decision systems
  • Architect ethical AI frameworks for global deployment in regulated industries
  • Present findings to C-suite executives and congressional technology committees
  • Mentor PhD researchers in emerging AI paradigms (neuromorphic computing, swarm AI)
  • Secure $5M+ in government and private R&D funding

Qualifications

  • PhD in AI/Computer Science with 7+ years in R&D leadership
  • Published 15+ peer-reviewed papers on quantum ML or ethical AI
  • Experience securing DARPA/NSF grants for future-tech initiatives
  • Expertise in federated learning and explainable AI frameworks
  • Proven track record of commercializing AI breakthroughs
  • Security clearance (preferred) for national security collaborations

Required Skills

Quantum Computing Machine Learning Strategic Foresight Ethical AI Federated Learning Neuromorphic Systems Grant Writing Autonomous Systems

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