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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Strategist

Horizon Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Horizon Dynamics at the vanguard of technological evolution as we architect the digital landscape of 2026. We seek an AI Futurist Strategist to pioneer breakthrough solutions in quantum-enhanced machine learning and autonomous systems. This role merges visionary thinking with actionable execution, positioning you at the intersection of AI ethics, predictive analytics, and next-gen human-computer interfaces. Our Austin innovation hub offers unparalleled resources to transform theoretical concepts into industry-defining applications.

Responsibilities

  • Lead cross-functional teams in developing AI roadmaps aligned with 2026 technological convergence points
  • Architect quantum-resistant neural networks for enterprise-scale decision automation
  • Conduct foresight analysis on AI regulatory landscapes and ethical frameworks
  • Partner with C-suite executives to integrate predictive AI into product lifecycles
  • Drive innovation sprints for generative AI applications in human-AI collaboration
  • Present strategic blueprints to industry consortiums and venture capital partners
  • Mentor junior researchers in emerging AI paradigms and responsible innovation

Qualifications

  • PhD or equivalent in Computer Science/AI with 5+ years in applied research
  • Published work in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
  • Expertise in transformer architectures, reinforcement learning, and quantum computing
  • Proven track record scaling AI initiatives from prototype to production
  • Deep understanding of AI governance frameworks (EU AI Act, NIST RMF)
  • Experience with MLOps stacks (Kubernetes, Kubeflow, MLflow)
  • Strong background in human-centered AI design and ethical implementation

Required Skills

Artificial Intelligence Quantum Computing Machine Learning Strategic Foresight Neural Networks Reinforcement Learning AI Ethics MLOps

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