Home Job Details
Q
Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect

QuantumLeap Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution. We're seeking a visionary AI Systems Architect to design and implement next-generation artificial intelligence frameworks that will define the digital landscape of 2026. In this pivotal role, you'll architect scalable ML pipelines, lead cross-functional innovation sprints, and pioneer solutions that transform industries.

Our Austin-based innovation hub offers unparalleled resources for research and development, including quantum computing partnerships and a $50M annual R&D budget. You'll collaborate with Nobel laureates and industry disruptors while shaping the future of autonomous systems and predictive analytics.

Responsibilities

  • Design and implement scalable AI/ML architectures supporting 10M+ daily transactions
  • Lead cross-functional teams in developing cutting-edge NLP and computer vision solutions
  • Architect hybrid quantum-classical computing frameworks for real-time decisioning
  • Develop ethical AI governance frameworks ensuring compliance with 2026 regulatory standards
  • Optimize MLOps pipelines achieving 99.99% system uptime
  • Drive innovation in federated learning and edge AI deployment
  • Mentor junior engineers in emerging AI paradigms

Qualifications

  • PhD in Computer Science/AI or equivalent with 8+ years of enterprise AI architecture
  • Expertise in distributed ML frameworks (PyTorch, TensorFlow, JAX) and Kubernetes
  • Published research in top-tier AI conferences (NeurIPS, ICML) or equivalent industry impact
  • Proven track record architecting systems processing petabyte-scale datasets
  • Deep knowledge of quantum computing principles and hybrid system integration
  • Certification in Google Cloud AI/ML or equivalent Azure/AWS specialization
  • Experience leading teams through full AI lifecycle from research to production

Required Skills

AI Architecture Machine Learning Quantum Computing MLOps Distributed Systems NLP Computer Vision Kubernetes PyTorch TensorFlow Ethics in AI

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All