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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Strategist

Nexus Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we prepare for the transformative landscape of 2026. We're seeking an AI Futurist Strategist to architect next-generation intelligence frameworks that will redefine industries. This role blends cutting-edge research with visionary strategy to position our solutions at the intersection of quantum computing, neural networks, and human-computer symbiosis. Work with Nobel-caliber researchers in our Austin Innovation Hub, where your insights will directly shape the AI paradigms that power our global ecosystem.

Responsibilities

  • Design and implement predictive AI models forecasting technological disruptions by 2026
  • Lead cross-functional teams in developing ethical AI governance frameworks
  • Architect neural-quantum hybrid systems for next-generation autonomous systems
  • Collaborate with policy makers to shape AI legislation and ethical standards
  • Develop strategic roadmaps for AI integration across enterprise operations
  • Author white papers on emergent AI paradigms and market impact analysis
  • Mentor PhD researchers in advanced machine learning methodologies

Qualifications

  • PhD in Machine Learning, Quantum Computing, or related field (or equivalent experience)
  • 5+ years in AI strategy development with Fortune 500 companies
  • Published research in top-tier AI/quantum journals (NeurIPS, Nature Quantum)
  • Expertise in federated learning and decentralized neural architectures
  • Deep understanding of quantum machine learning frameworks (Qiskit, Cirq)
  • Experience with regulatory compliance for AI systems (GDPR, EU AI Act)
  • Proven track record of scaling AI initiatives to enterprise-level deployment

Required Skills

Machine Learning Quantum Computing Neural Networks Strategic Planning AI Ethics Federated Learning Quantum Machine Learning Policy Development

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