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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect 2026

QuantumLeap Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek a visionary AI Systems Architect to design next-generation neural networks that will redefine human-machine collaboration. This role demands strategic thinking, deep technical expertise, and a passion for pushing computational boundaries. You'll lead cross-functional teams in developing autonomous systems, quantum-integrated algorithms, and adaptive learning frameworks that will power the next decade of innovation.

Our Austin headquarters offers an unparalleled environment for growth, with cutting-edge labs and collaborative spaces where your ideas can transform into reality. We provide comprehensive benefits including equity, flexible work arrangements, and continuous learning opportunities.

Responsibilities

  • Architect scalable AI systems integrating quantum computing and edge processing
  • Lead development of adaptive neural networks for real-time decision-making
  • Design secure federated learning frameworks across distributed networks
  • Collaborate with research teams to prototype 2026-era autonomous systems
  • Optimize computational efficiency for next-gen machine learning pipelines
  • Establish governance frameworks for ethical AI deployment
  • Mentor junior engineers in emerging AI paradigms

Qualifications

  • 10+ years in AI/ML architecture with 5+ in quantum computing integration
  • Expertise in TensorFlow, PyTorch, and distributed computing frameworks
  • Published research in neural networks or quantum machine learning
  • Experience leading cross-functional tech teams in agile environments
  • PhD in Computer Science, AI, or related field (or equivalent experience)
  • Deep understanding of ethical AI governance frameworks
  • Proficiency in C++, Python, and low-level optimization techniques

Required Skills

AI Architecture Quantum Computing Neural Networks Federated Learning Machine Learning Distributed Systems TensorFlow PyTorch C++ Python

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