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AI Systems Architect 2026

QuantumLeap Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join QuantumLeap Innovations at the forefront of technological evolution as we architect the AI-driven future of 2026. We seek visionary AI Systems Architects to design next-generation autonomous systems that will redefine industries. In this pivotal role, you'll lead the development of quantum-integrated neural networks and edge-computing frameworks that enable real-time adaptive intelligence. Our Austin-based innovation hub offers unparalleled resources to transform theoretical concepts into groundbreaking solutions.

QuantumLeap provides competitive compensation, equity packages, and a flexible hybrid work environment. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art R&D facility, where every breakthrough has the potential to shape humanity's technological trajectory.

Responsibilities

  • Design and implement quantum-enhanced AI systems with 99.99% reliability for autonomous operations
  • Lead cross-functional teams in developing edge-computing frameworks for real-time decision-making
  • Architect neural networks capable of unsupervised learning across multi-dimensional datasets
  • Develop ethical AI governance protocols ensuring compliance with 2026 global AI regulations
  • Optimize system performance for energy-efficient deployment across distributed networks
  • Create predictive models for technology adoption trends and market disruption scenarios
  • Document system architectures in quantum-resistant cryptographic frameworks

Qualifications

  • PhD in Computer Science, Quantum Computing, or related field with 8+ years experience
  • Proven expertise in developing production-level AI systems with 10M+ user impact
  • Mastery of quantum machine learning frameworks (Qiskit, Cirq) and tensor processing units
  • Deep understanding of ethical AI principles and regulatory compliance frameworks
  • Published research in top-tier AI/quantum computing journals or conferences
  • Experience leading teams of 15+ engineers in agile development environments
  • Proficiency in distributed computing architectures (Kubernetes, Apache Spark)
  • Certification in Quantum System Architecture (QSA) or equivalent

Required Skills

Quantum Computing AI Architecture Neural Networks Machine Learning Quantum Machine Learning Edge Computing AI Ethics Distributed Systems Agile Development Predictive Modeling Cryptography System Optimization

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