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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Strategist

Horizon Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Horizon Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek a visionary AI Futurist Strategist to architect tomorrow's intelligent systems today. This role blends cutting-edge AI research with strategic foresight, transforming theoretical possibilities into scalable innovations that redefine human-machine collaboration.

In our dynamic Austin hub, you'll collaborate with quantum computing specialists, neuro-engineers, and ethical AI pioneers. We offer competitive compensation, unlimited learning stipends, and the autonomy to shape projects that will impact billions.

Responsibilities

  • Lead R&D initiatives for next-generation AI systems with 5-10 year implementation horizons
  • Architect ethical AI frameworks for autonomous decision-making in critical infrastructure
  • Develop predictive models for societal adoption of emerging technologies
  • Partner with quantum computing teams to optimize hybrid classical-quantum algorithms
  • Present strategic roadmaps to C-suite executives and industry consortiums
  • Mentor cross-functional teams in emerging AI paradigms
  • Author white papers on AI's role in solving 2030 grand challenges

Qualifications

  • PhD in Machine Learning, Cognitive Science, or related field (or equivalent experience)
  • 5+ years in AI research with 3+ years in strategic technology planning
  • Published work in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
  • Expertise in transformer architectures, reinforcement learning, and explainable AI
  • Proven track record of translating research into commercial products
  • Deep understanding of quantum computing fundamentals and NISQ-era limitations
  • Strong communication skills for presenting complex concepts to diverse stakeholders

Required Skills

AI Strategy Quantum Computing Reinforcement Learning Explainable AI Future Studies Transformer Models Ethics in AI Predictive Modeling

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