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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect 2026

QuantumLeap Technologies
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join QuantumLeap Technologies at the forefront of technological evolution as we build the AI infrastructure for 2026. We seek a visionary AI Systems Architect to design next-generation neural networks that will redefine human-computer interaction. This role offers unparalleled opportunity to shape the future of artificial intelligence in a collaborative, innovation-driven environment.

Our Austin-based R&D hub combines cutting-edge research with practical implementation, offering competitive compensation, flexible work arrangements, and exposure to revolutionary projects. If you're passionate about pushing AI boundaries and solving complex computational challenges, this is your moment.

Responsibilities

  • Architect scalable AI/ML systems using quantum-inspired neural networks
  • Design hybrid cloud-native infrastructure supporting 10M+ concurrent AI operations
  • Lead cross-functional teams in implementing ethical AI governance frameworks
  • Develop real-time inference pipelines for autonomous decision-making systems
  • Optimize neural architectures for edge computing deployment
  • Research and integrate emerging AI paradigms (e.g., neuromorphic computing)
  • Establish performance benchmarks for next-gen AI models

Qualifications

  • 8+ years in AI/ML architecture with 3+ years in quantum computing integration
  • Expertise in Python, TensorFlow, PyTorch, and quantum programming frameworks
  • Proven track record deploying AI systems at petabyte-scale
  • PhD or equivalent in Computer Science/AI with focus on quantum neural networks
  • Certification in AWS/GCP/Azure quantum cloud services
  • Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
  • Experience leading teams developing AGI-aligned systems

Required Skills

Artificial Intelligence Quantum Computing Machine Learning Neural Networks Cloud Architecture Python TensorFlow PyTorch AWS GCP Ethics in AI Research Leadership

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