Job Description
Shape the technological landscape of 2026 as our AI Infrastructure Architect. You'll design next-generation neural network architectures and scalable AI deployment frameworks for Fortune 500 clients. Join a team pioneering quantum-optimized machine learning solutions at the intersection of computational neuroscience and cloud-native systems.
Responsibilities
- Architect distributed AI training pipelines with sub-10ms latency requirements
- Design fault-tolerant quantum-inspired compute clusters for real-time inference
- Develop secure federated learning protocols across 10+ data silos
- Optimize transformer models for edge deployment with <100ms response times
- Create MLOps pipelines for autonomous model lifecycle management
- Lead cross-functional teams in implementing AI governance frameworks
Qualifications
- 7+ years in ML infrastructure with production-scale deployment experience
- Expertise in Kubernetes, Ray, and TensorFlow Extended ecosystems
- Published research in top-tier AI conferences (NeurIPS, ICML)
- Proficiency in GPU/TPU optimization and distributed computing
- Strong background in differential privacy and federated learning
- PhD in Computer Science or equivalent with AI specialization
- Experience with quantum computing APIs (Qiskit, Cirq)