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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect

QuantumLeap Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we pioneer the next generation of AI systems for 2026. We're seeking an innovative AI Systems Architect to design and implement groundbreaking autonomous decision frameworks that will redefine industries. This role offers unparalleled opportunities to shape the future of human-machine collaboration in our state-of-the-art Austin facility.

As a key member of our R&D division, you'll collaborate with Nobel laureates and industry disruptors to transform theoretical AI models into scalable, ethical solutions. Our comprehensive benefits package includes equity participation in our moonshot projects and dedicated innovation time for personal research initiatives.

Responsibilities

  • Design and implement hybrid quantum-classical AI architectures for real-world deployment
  • Lead cross-functional teams in developing ethical AI governance frameworks
  • Architect autonomous decision systems with adaptive learning capabilities
  • Optimize neural network efficiency for edge computing environments
  • Develop secure AI-human interaction protocols for 2026 use cases
  • Conduct performance benchmarking against industry standards
  • Document system architectures for regulatory compliance

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in transformer architectures and multi-agent reinforcement learning
  • Proficiency in quantum computing frameworks (Qiskit, Cirq) and classical AI stacks
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML)
  • Experience deploying production-grade AI systems at scale
  • Strong background in AI ethics and bias mitigation techniques
  • Fluency in Python, PyTorch, and distributed computing frameworks

Required Skills

AI Architecture Quantum Computing Machine Learning Neural Networks Ethics Reinforcement Learning Python PyTorch Distributed Systems

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