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Information Technology 🏢 Full Time ⭐️ Verified

AI Futures Architect

Horizon Dynamics Inc.
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join our pioneering team as an AI Futures Architect to shape the technological landscape of 2026. We're seeking visionary strategists to design next-gen AI frameworks that will redefine industries. This role sits at the intersection of machine learning, human-computer interaction, and ethical AI governance. You'll collaborate with Fortune 500 partners to build scalable solutions that anticipate future market disruptions while ensuring responsible AI deployment.

Why this role matters: By 2026, 75% of enterprises will rely on AI for core decision-making. You'll lead the charge in creating the ethical, transparent systems that will power this transformation.

Responsibilities

  • Architect AI roadmaps aligned with 2026 technological convergence points
  • Design adaptive ML models that evolve with emerging quantum computing paradigms
  • Develop ethical AI governance frameworks for autonomous system deployment
  • Lead cross-functional teams in prototyping next-gen human-AI interfaces
  • Conduct horizon scanning for disruptive AI technologies with 3-5 year impact
  • Present strategic recommendations to C-suite executives on AI readiness

Qualifications

  • 10+ years in AI/ML strategy with 5+ years in predictive technology planning
  • PhD or equivalent in Computer Science, Cognitive Science, or Futurism
  • Published research on ethical AI or human-machine collaboration frameworks
  • Experience with quantum computing simulation environments (e.g., Qiskit, Cirq)
  • Track record of deploying AI systems at enterprise scale (>10M users)
  • Certification in AI Governance (e.g., IEEE Ethically Aligned Design)
  • Portfolio demonstrating 2020-2025 technology predictions with 85%+ accuracy

Required Skills

AI Strategy Quantum Computing Ethics Predictive Modeling Human-AI Interaction Enterprise AI Governance Technology Roadmapping Machine Learning Deployment

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