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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect 2026

NeuraFuture Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join NeuraFuture Labs at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that will redefine human-machine interaction. As our AI Systems Architect, you'll architect scalable neural networks, develop quantum-resistant algorithms, and lead cross-functional teams to build autonomous systems that learn, adapt, and evolve. This role offers unparalleled opportunities to shape the future of artificial intelligence in a collaborative, cutting-edge environment.

Responsibilities

  • Design and implement advanced neural network architectures for real-time AI decision-making
  • Lead development of quantum-resistant cryptographic systems for secure AI deployment
  • Optimize machine learning pipelines for edge computing and distributed networks
  • Collaborate with robotics teams to integrate AI with autonomous systems
  • Research and prototype generative AI models for creative industries
  • Establish ethical AI governance frameworks aligned with 2026 regulatory standards
  • Mentor junior engineers in emerging AI methodologies

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in transformer architectures, reinforcement learning, and federated learning
  • Proficiency in PyTorch, TensorFlow, and quantum computing frameworks
  • Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Experience deploying AI systems in production environments with 99.99% uptime
  • Strong background in cybersecurity and adversarial AI mitigation
  • Demonstrated leadership in cross-functional technical teams
  • Understanding of 2026's emerging tech landscape (neuromorphic chips, bio-AI interfaces)

Required Skills

AI Architecture Quantum Computing Neural Networks Machine Learning PyTorch TensorFlow Reinforcement Learning Cybersecurity Distributed Systems Generative AI

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