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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Strategist

NextGen Dynamics
Austin
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join NextGen Dynamics at the forefront of 2026's technological revolution. We're seeking an AI Futurist Strategist to architect tomorrow's intelligent ecosystems today. This role blends cutting-edge machine learning with human-centric design to create solutions that will redefine industries by 2026. You'll collaborate with Nobel laureates and disruptors in our Austin innovation lab, shaping AI ethics frameworks and autonomous systems that prioritize human flourishing. We offer competitive equity, unlimited learning stipends, and the opportunity to patent breakthrough innovations.

Responsibilities

  • Develop predictive AI models forecasting societal impacts of emerging technologies through 2026
  • Architect human-AI collaboration frameworks for enterprise clients in healthcare, logistics, and energy
  • Lead cross-functional teams in prototyping quantum-resistant security protocols
  • Author white papers on AI governance and ethical deployment standards
  • Partner with policymakers to shape regulations for autonomous systems and neural interfaces
  • Drive commercialization of 2026-readiness solutions through pilot programs

Qualifications

  • PhD in Computer Science/AI with 5+ years industry experience or equivalent breakthrough contributions
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Expertise in federated learning and explainable AI techniques
  • Portfolio demonstrating deployment of ethical AI systems in regulated environments
  • Experience with neuromorphic computing and brain-computer interfaces
  • Certification in AI governance frameworks (e.g., IEEE Ethically Aligned Design)
  • Proven ability to translate complex technical concepts for C-suite audiences

Required Skills

AI Strategy Machine Learning Predictive Modeling Quantum Computing Neural Interfaces AI Ethics Federated Learning Neuromorphic Computing

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