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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect

QuantumLeap Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Shape the technological frontier with QuantumLeap Dynamics! We're seeking a visionary AI Systems Architect to design and implement next-generation artificial intelligence solutions that will redefine industries by 2026. Join our elite team of innovators working at the intersection of quantum computing, neural networks, and autonomous systems.

As a key architect in our Austin R&D hub, you'll lead the conceptualization of AI frameworks capable of processing exabyte-scale datasets while maintaining quantum-level security. This role offers unparalleled opportunities to influence the trajectory of AI development and work with cutting-edge technologies including neuromorphic processors and decentralized AI networks.

Responsibilities

  • Design scalable AI architectures integrating quantum computing capabilities
  • Develop neural network frameworks for real-time predictive analytics
  • Implement quantum-resistant security protocols for AI systems
  • Create ethical AI governance frameworks aligned with 2026 regulatory standards
  • Lead cross-functional teams in deploying AI solutions across industries
  • Research and prototype emergent AI technologies including generative adversarial networks
  • Optimize AI systems for edge computing and distributed networks
  • Document architectural blueprints and conduct technical reviews

Qualifications

  • PhD in Computer Science or related field with 8+ years AI architecture experience
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq)
  • Proven track record designing systems processing >1 petabyte datasets
  • Published research in top-tier AI/quantum computing journals
  • Proficiency in distributed AI systems (TensorFlow, PyTorch)
  • Deep understanding of ethical AI development frameworks
  • Certification in quantum computing architecture (IBM Q, Google Quantum)
  • Experience leading AI teams in high-growth tech environments

Required Skills

Quantum Computing Neural Networks AI Architecture Machine Learning Distributed Systems Data Science Python TensorFlow Qiskit Cybersecurity

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