Job Description
Shape the future of AI infrastructure at QuantumLeap Systems! We're seeking a visionary 2026 AI Infrastructure Architect to design next-generation systems that will power artificial intelligence breakthroughs for the next decade. Join our elite team building scalable, resilient, and quantum-optimized architectures that will transform how enterprises deploy AI at scale.
In this pivotal role, you'll architect solutions that seamlessly integrate quantum computing, edge AI, and distributed neural networks. You'll collaborate with Nobel laureates and industry pioneers to develop frameworks that address the exponential computational demands of 2026's AI landscape. If you thrive at the intersection of bleeding-edge technology and enterprise-scale engineering, this is your calling.
Responsibilities
- Design quantum-accelerated AI infrastructure supporting 10,000+ node neural networks
- Architect edge-to-cloud distributed systems for real-time AI inference at planetary scale
- Develop zero-trust security frameworks for AI model protection and intellectual property
- Lead cross-functional teams in implementing fault-tolerant quantum-classical hybrid systems
- Create predictive scaling models for AI workloads with exascale computational requirements
- Establish governance frameworks for ethical AI deployment in regulated industries
- Pioneer energy-efficient cooling solutions for next-gen AI accelerators
Qualifications
- PhD in Computer Science, Quantum Computing, or related field (or equivalent experience)
- 8+ years designing large-scale distributed AI/ML infrastructure
- Expertise in quantum computing frameworks (Qiskit, Cirq, or similar)
- Deep knowledge of neuromorphic computing and photonic processors
- Proven experience with container orchestration at exascale (Kubernetes, Nomad)
- Certification in quantum security protocols (QCE Level 3+)
- Published research in top-tier AI/quantum computing conferences (NeurIPS, QIP)
- Experience with regulatory compliance for AI systems (NIST AI RMF, EU AI Act)