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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect 2026

QuantumLeap Dynamics
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Shape the future of artificial intelligence at QuantumLeap Dynamics. We're seeking an innovative AI Systems Architect to design next-generation autonomous systems by 2026. Join our elite team in Austin to revolutionize industries through cutting-edge neural networks and quantum computing integration. This pivotal role offers unparalleled opportunities to influence AI ethics, scalability, and real-world applications.

Our Austin headquarters features state-of-the-art labs and collaborative spaces where you'll work alongside Nobel laureates and industry pioneers. We offer competitive compensation, equity packages, and comprehensive benefits including flexible schedules, wellness stipends, and professional development funds.

Responsibilities

  • Design scalable AI architectures integrating quantum computing and neural networks
  • Lead cross-functional teams in developing autonomous systems for healthcare and logistics
  • Establish ethical AI frameworks and compliance protocols for 2026 deployment
  • Optimize machine learning pipelines for real-time processing at edge nodes
  • Research and implement breakthrough techniques in federated learning
  • Collaborate with product teams to translate technical vision into market-ready solutions
  • Present findings at industry conferences and publish in top-tier journals

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in TensorFlow/PyTorch and quantum computing frameworks (Qiskit, Cirq)
  • Proven track record deploying production-grade AI systems serving 1M+ users
  • Publishing record in NeurIPS/ICML/AAAI or equivalent top-tier venues
  • Strong background in distributed systems and Kubernetes orchestration
  • Familiarity with EU AI Act and NIST AI Risk Management Framework
  • Experience leading technical teams of 10+ engineers

Required Skills

Machine Learning Quantum Computing Neural Networks TensorFlow PyTorch Kubernetes Distributed Systems AI Ethics Research Leadership

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