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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
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Shape the technological frontier as QuantumLeap Dynamics' AI Systems Architect 2026. We're seeking a visionary leader to design next-generation AI infrastructure that will power the next wave of human-machine collaboration. This pivotal role bridges bleeding-edge research with scalable production systems, ensuring our AI platforms evolve at the pace of human ingenuity.

Join a team redefining what's possible with autonomous systems, quantum-optimized algorithms, and ethical AI governance. You'll architect solutions for industries from healthcare to aerospace, embedding resilience, transparency, and adaptability into every layer of our technology stack.

Responsibilities

  • Design and implement scalable AI architectures integrating quantum computing, edge computing, and distributed neural networks.
  • Lead cross-functional teams to develop AI roadmaps aligned with 2026 technological inflection points.
  • Establish ethical AI frameworks ensuring compliance with evolving global regulations and societal impact standards.
  • Optimize AI systems for energy efficiency and sustainability in line with carbon-neutral computing initiatives.
  • Develop hybrid human-AI collaboration protocols for decision-making and creative workflows.
  • Conduct stress testing and vulnerability assessments against adversarial AI scenarios.
  • Drive innovation through partnerships with academic institutions and technology pioneers.

Qualifications

  • 10+ years in AI/ML architecture with 5+ years in quantum computing or neuromorphic systems.
  • PhD in Computer Science, AI, or related field or equivalent industry breakthrough contributions.
  • Expertise in federated learning, differential privacy, and explainable AI frameworks.
  • Published research in top-tier AI journals or conference proceedings (NeurIPS, ICML, etc.).
  • Experience deploying AI systems at petabyte-scale with sub-millisecond latency requirements.
  • Deep knowledge of ethical AI governance frameworks (EU AI Act, NIST RMF).
  • Proven ability to translate complex technical concepts into strategic business narratives.

Required Skills

Quantum Computing AI Architecture Federated Learning Explainable AI Neuromorphic Systems Ethical AI Distributed Systems High-Performance Computing

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