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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist & Ecosystem Architect

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

Job Description

Join Horizon Labs as we redefine human potential through 2026's technological frontier. We're seeking a visionary AI Futurist to architect intelligent ecosystems that merge quantum computing, biometric interfaces, and decentralized networks. Shape tomorrow's innovations while solving today's complex challenges.

Why This Role? Lead cross-functional teams in developing adaptive AI frameworks, pioneer ethical AI governance protocols, and collaborate with Nobel laureates on next-gen human-computer symbiosis. Your work will directly impact Fortune 500 digital transformations and global sustainability initiatives.

Responsibilities

  • Design and deploy autonomous AI systems with predictive capabilities beyond 2025
  • Architect neural networks that process quantum-encrypted data streams
  • Develop biometric authentication protocols for next-gen human-AI interfaces
  • Lead blockchain-based decentralized infrastructure for enterprise ecosystems
  • Establish ethical AI governance frameworks aligned with EU AI Act standards
  • Partner with NASA/JPL on space exploration AI applications
  • Mentor PhD researchers in neuromorphic computing breakthroughs

Qualifications

  • PhD in Machine Learning, Quantum Computing, or Computational Neuroscience
  • 5+ years building production-grade LLMs with >1B parameter architectures
  • Expertise in federated learning and zero-knowledge proof implementations
  • Published research in Nature/Science on AI ethics or quantum algorithms
  • Proficiency in PyTorch 2.0+ and quantum programming languages (Q#)
  • Experience scaling AI systems for 10M+ concurrent users
  • Certification in ISO/IEC 42001 AI Management Systems
  • Portfolio demonstrating deployed quantum-AI hybrid systems

Required Skills

AI/ML Quantum Computing Blockchain Neural Networks Biometric Interfaces Ethical AI PyTorch Q# LLMs Federated Learning Zero-Knowledge Proofs

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