Job Description
Join QuantumLeap Technologies at the forefront of 2026's technological revolution. We're seeking an AI Infrastructure Architect to design and implement next-generation cloud-native systems that will power the next decade of AI innovation. This role offers unparalleled opportunity to shape the digital landscape while working with cutting-edge technologies in a collaborative, future-focused environment.
Responsibilities
- Design scalable, fault-tolerant AI infrastructure supporting terabyte-scale data pipelines
- Architect hybrid cloud solutions integrating quantum computing accelerators
- Lead implementation of MLOps frameworks for autonomous model deployment
- Develop zero-trust security protocols for AI-powered systems
- Optimize resource allocation for real-time inference at edge locations
- Research and integrate emerging hardware (neuromorphic chips, photonic processors)
- Document architecture blueprints and compliance frameworks
Qualifications
- 10+ years in distributed systems architecture with 5+ years in AI/ML infrastructure
- Expertise in Kubernetes, Terraform, and cloud-native orchestration
- Deep knowledge of quantum computing principles and hybrid quantum-classical systems
- Proven experience designing solutions for exabyte-scale data processing
- Certified in AWS/Azure/GCP with specialization in ML infrastructure
- Published research in top-tier AI or systems conferences (NeurIPS, OSDI)
- Strong background in hardware-software co-design for AI accelerators