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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Strategist 2026

Nexus Innovations Inc.
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Innovations Inc. at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI Futurist Strategist to architect next-generation intelligence frameworks that will redefine industries. This hybrid role combines cutting-edge research with visionary strategic planning, offering unparalleled opportunities to shape the future of artificial intelligence. Enjoy competitive compensation, flexible work arrangements, and collaboration with world-class innovators in Austin's thriving tech ecosystem.

Responsibilities

  • Design and deploy predictive AI models forecasting 2026 technological disruptions
  • Develop cross-industry roadmaps for quantum-AI integration
  • Lead workshops on emerging AI ethics frameworks for autonomous systems
  • Partner with C-suite executives to embed future-ready AI into business strategy
  • Author white papers on human-AI symbiosis in post-2025 workplaces
  • Manage R&D sprints for generative AI applications in healthcare and climate tech
  • Represent company at global futurist conferences and policy summits

Qualifications

  • PhD in Computer Science, Cognitive Science, or related field
  • 5+ years experience in AI strategy at Fortune 500 or unicorn tech firms
  • Published research in top-tier AI/ML journals (NeurIPS, ICML, etc.)
  • Expertise in federated learning and explainable AI architectures
  • Proficiency in Python, TensorFlow, and quantum computing frameworks
  • Deep understanding of AGI safety protocols and alignment research
  • Proven track record of translating technical vision into business impact
  • Certification in AI Ethics (IEEE or ACM preferred)

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Quantum Computing Data Science Ethics Futurism Research Python TensorFlow AGI Predictive Modeling

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