Job Description
Join QuantumLeap Technologies at the forefront of 2026's AI revolution! We're seeking an AI Infrastructure Architect to design next-generation systems that will power the intelligent technologies of tomorrow. This role offers the opportunity to shape the future of scalable, ethical AI infrastructure while working with cutting-edge quantum computing integration and autonomous system frameworks.
Why QuantumLeap? We're a leader in emerging technology solutions with a 98% employee retention rate. Our innovation lab partners with NASA and Stanford University, and we offer flexible hybrid work, unlimited learning stipends, and equity packages.
Responsibilities
- Architect quantum-resistant AI infrastructure supporting 10,000+ concurrent model training sessions
- Design federated learning systems compliant with 2026 global AI governance frameworks
- Lead implementation of neuromorphic computing hardware integration for energy-efficient inference
- Develop real-time anomaly detection systems for distributed AI clusters
- Optimize containerized ML pipelines for multi-cloud deployment on edge-to-core infrastructure
- Create predictive scaling algorithms for dynamic resource allocation during peak demand
- Establish zero-trust security protocols for AI data pipelines
Qualifications
- 8+ years in distributed systems architecture with 3+ years in AI/ML infrastructure
- Expertise in Kubernetes, Ray, and TensorFlow Extended at petabyte scale
- Experience with quantum computing interfaces (Qiskit, Cirq) or equivalent
- Certification in AWS/Azure/GCP with specialization in ML infrastructure
- Published research in scalable AI systems or related field
- Proficiency in Rust for high-performance system programming
- Demonstrated work with federated learning and differential privacy
- Knowledge of 2026 NIST AI Risk Management Framework