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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist & Systems Architect

Nexus Horizons Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Horizons Inc. at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an AI Futurist & Systems Architect to design and implement next-generation intelligent systems that will redefine industries. This role blends visionary thinking with hands-on technical execution to create scalable, adaptive AI ecosystems.

As a key innovator, you'll collaborate with cross-disciplinary teams to develop predictive frameworks, autonomous decisioning systems, and human-AI symbiotic interfaces. Our ideal candidate thrives at the intersection of theoretical AI research and practical deployment, driving projects that will shape the technological landscape.

Responsibilities

  • Design and architect adaptive AI systems capable of self-evolution by 2026
  • Lead research in neural-symbolic integration for explainable autonomous agents
  • Develop quantum-resistant cryptographic frameworks for secure AI data flows
  • Create predictive models for technological singularity impact assessment
  • Coordinate with bio-engineering teams for AI-neural interface protocols
  • Establish ethical governance frameworks for superintelligent systems
  • Prototype decentralized AI networks using blockchain consensus mechanisms

Qualifications

  • PhD in Computer Science, AI, or Cognitive Systems with 5+ years industry experience
  • Published research in neural-symbolic AI or quantum machine learning
  • Expertise in Python, TensorFlow, and distributed computing architectures
  • Proven track record deploying production-grade autonomous systems
  • Deep understanding of AGI safety protocols and alignment techniques
  • Experience with neuromorphic computing hardware (e.g., Intel Loihi)
  • Certification in AI Ethics from IEEE or ACM

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neural Networks Systems Architecture Predictive Modeling Ethics Python TensorFlow Blockchain

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