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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

Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer AI-driven solutions for 2026. We're seeking visionary AI Systems Architects to design and deploy next-generation neural networks that will redefine human-machine interaction. Our Austin hub combines cutting-edge research with agile development, offering unparalleled opportunities to shape the future of artificial intelligence. You'll collaborate with Nobel laureates and industry disruptors in an environment that values creativity, ethical innovation, and relentless problem-solving. Enjoy comprehensive benefits including equity, unlimited PTO, and a $10,000 annual learning stipend.

Responsibilities

  • Architect scalable AI systems integrating quantum computing and neuromorphic processors
  • Design ethical AI frameworks compliant with 2026 global regulatory standards
  • Lead cross-functional teams to deploy AI solutions in autonomous systems and healthcare
  • Develop real-time neural network optimization protocols for edge computing environments
  • Conduct AI safety audits and bias mitigation for mission-critical applications
  • Drive research in explainable AI and human-AI symbiosis technologies
  • Mentor junior engineers through our proprietary 'Future-Ready' training program

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in transformer architectures, federated learning, and quantum algorithms
  • Proven track record deploying production AI systems at scale (10M+ users)
  • Published research in top-tier AI conferences (NeurIPS, ICML) or equivalent impact
  • Proficiency in PyTorch, TensorFlow, and quantum programming frameworks
  • Strong understanding of 2026 AI ethics frameworks and regulatory landscapes
  • Experience leading teams in agile DevOps environments with CI/CD mastery
  • Portfolio demonstrating innovative AI applications solving real-world problems

Required Skills

AI Architecture Quantum Computing Neural Networks Machine Learning PyTorch TensorFlow Ethics AI Agile Development Quantum Algorithms

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