Job Description
Join QuantumLeap Technologies as a visionary 2026 AI Infrastructure Architect to design next-generation computing ecosystems. You'll pioneer scalable AI frameworks that power autonomous systems, quantum-ML hybrids, and neuromorphic computing. Shape the future of distributed intelligence while working with Fortune 500 clients deploying cutting-edge AI solutions.
Responsibilities
- Architect hybrid quantum-classical AI systems for 2026-era workloads
- Design fault-tolerant neural networks with embedded security protocols
- Lead implementation of federated learning frameworks across 10K+ node networks
- Develop real-time inference pipelines for edge-AI deployment
- Optimize computational efficiency for exascale AI training
- Create disaster recovery protocols for mission-critical AI infrastructure
- Mentor cross-functional teams on emerging AI paradigms
Qualifications
- PhD in Computer Science/Engineering or 8+ years equivalent experience
- Expertise in quantum computing frameworks (Qiskit, Cirq)
- Proven track record with exascale HPC architecture
- Deep knowledge of neuromorphic computing (Loihi, TrueNorth)
- Certification in AWS/Azure/GCP quantum services
- Published research in top-tier AI/ML conferences
- Experience with C++/Python/Rust for low-level optimization