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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Strategist

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

Job Description

Join Nexus Innovations at the forefront of technological evolution as we build the future of AI-driven solutions. We're seeking visionary AI Futurist Strategists to architect breakthrough systems by 2026. This role blends cutting-edge research with practical implementation, requiring both deep technical expertise and transformative thinking. You'll collaborate with Nobel laureates and industry pioneers to develop autonomous frameworks that redefine human-machine interaction. Our San Francisco hub offers unparalleled resources and a culture where innovation thrives.

Responsibilities

  • Design and prototype next-gen AI architectures with 2026 deployment horizons
  • Lead cross-functional teams in developing ethical AI frameworks for autonomous systems
  • Conduct horizon scanning to identify emerging tech trends and competitive threats
  • Present strategic roadmaps to C-suite executives and board members
  • Author whitepapers on AI's societal impact and mitigation strategies
  • Mentor junior researchers in future-focused methodologies
  • Secure $5M+ in research funding through grant proposals

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Expertise in quantum computing, neuromorphic engineering, or swarm AI
  • Proven track record of deploying large-scale ML systems (>1B parameters)
  • Deep understanding of AGI safety protocols and ethical AI governance
  • Experience with policy advisory boards or tech ethics committees
  • Portfolio demonstrating 3+ patented AI innovations
  • Fluency in Python, TensorFlow/PyTorch, and distributed computing frameworks

Required Skills

AI Research Machine Learning Quantum Computing Strategic Planning Ethics Neuromorphic Engineering Distributed Systems Policy Advisory

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