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Information Technology 🏢 Full Time ⭐️ Verified

Future AI Systems Architect

Nexus Dynamics
Austin
Estimated Salary
USD 190.000 – USD 280.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we pioneer the next generation of AI infrastructure. We're seeking a visionary Future AI Systems Architect to design and implement scalable, ethical AI frameworks that will define 2026's digital landscape. You'll collaborate with elite teams to transform cutting-edge research into production-ready solutions while ensuring security, efficiency, and human-centric design.

This role offers unparalleled opportunities to shape the future of artificial intelligence, with competitive compensation, equity packages, and access to industry-leading resources. Our Austin hub combines vibrant culture with world-class tech innovation.

Responsibilities

  • Architect next-gen AI systems integrating quantum computing and neuromorphic processing
  • Lead cross-functional teams in developing ethical AI frameworks aligned with 2026 regulatory standards
  • Design autonomous infrastructure solutions with 99.99% uptime and zero-trust security
  • Implement federated learning protocols for privacy-preserving AI deployment
  • Optimize neural network architectures for edge-to-cloud hybrid environments
  • Drive innovation in explainable AI (XAI) and bias mitigation techniques
  • Collaborate with research institutions on AGI safety protocols

Qualifications

  • 10+ years in AI/ML system architecture with 5+ years in futuristic tech planning
  • Expertise in distributed computing frameworks (Kubernetes, Ray, Spark)
  • PhD or equivalent in Computer Science, AI, or related field
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Proficiency in quantum computing simulation tools (Qiskit, Cirq)
  • Certification in AI ethics frameworks (IEEE, ACM)
  • Experience with neuromorphic hardware (Intel Loihi, IBM TrueNorth)
  • Strong background in autonomous system design and MLOps

Required Skills

AI Architecture Quantum Computing Neuromorphic Systems Federated Learning Explainable AI MLOps Distributed Systems Ethical AI

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