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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Strategist - 2026

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

Job Description

Join Nexus Horizon Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an AI Futurist Strategist to architect next-generation AI systems that will redefine industries. This role combines cutting-edge machine learning with visionary strategic planning to create ethical, scalable innovations. You'll collaborate with interdisciplinary teams to transform theoretical concepts into tangible products that shape our collective future.

Responsibilities

  • Design and implement AI frameworks for predictive modeling and autonomous decision-making systems
  • Lead cross-functional workshops to identify 2026 technology trends and market opportunities
  • Develop ethical AI governance protocols ensuring alignment with global regulatory standards
  • Create strategic roadmaps for AI integration into emerging sectors (quantum computing, biotech, space tech)
  • Present findings to C-suite executives and external stakeholders through compelling visual narratives
  • Mentor junior researchers while maintaining personal technical excellence in AI research

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Proven expertise in advanced ML frameworks (PyTorch, TensorFlow) and quantum computing basics
  • Portfolio demonstrating successful AI strategy implementation at enterprise scale
  • Deep understanding of emerging tech trends (AGI, neuromorphic computing, decentralized AI)
  • Exceptional communication skills translating complex technical concepts for diverse audiences
  • Published research in top-tier AI/ML conferences or journals
  • Experience with AI ethics frameworks (EU AI Act, NIST AI RMF)

Required Skills

Machine Learning Strategic Planning Quantum Computing AI Ethics Predictive Modeling Cross-Functional Leadership Research Methodology Data Visualization

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