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AI Futurist Strategist (2026)

NextGen Dynamics
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join NextGen Dynamics as a pioneering AI Futurist Strategist (2026) to architect the next generation of intelligent systems. We're seeking visionary innovators to transform theoretical AI breakthroughs into scalable solutions that redefine industries. Work with Fortune 500 partners to implement quantum-resistant AI frameworks, develop ethical autonomous systems, and create human-AI collaboration paradigms that will shape 2026's digital landscape.

At NextGen, you'll lead cross-disciplinary teams in our Austin innovation hub, leveraging cutting-edge research labs and $50M+ annual R&D budget. This role combines technical leadership with strategic foresight to position humanity at the forefront of the AI revolution.

Responsibilities

  • Design and implement ethical AI frameworks for 2026-era autonomous systems
  • Lead quantum-resistant machine learning architectures for critical infrastructure
  • Develop human-AI collaboration protocols that enhance productivity and creativity
  • Partner with C-suite executives to create AI roadmaps aligned with 2026 market forecasts
  • Establish governance models for explainable AI in regulated industries
  • Drive innovation in neuromorphic computing and edge-AI ecosystems
  • Present strategic AI insights at global industry forums and policy summits

Qualifications

  • PhD in Computer Science/AI with 8+ years of research leadership experience
  • Published work in top-tier AI journals (NeurIPS, ICML, ICLR) post-2020
  • Expertise in quantum-resistant cryptography and federated learning
  • Proven track record deploying AI systems at enterprise scale
  • Deep understanding of EU AI Act and global AI regulatory frameworks
  • Experience with neuromorphic computing hardware (Intel Loihi, IBM TrueNorth)
  • Certified in AI Ethics (IEEE, ACM) and MLOps (AWS/GCP/Azure)

Required Skills

AI Strategy Quantum Computing Machine Learning Ethics Neuromorphic Systems MLOps AI Governance Futurism

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