Job Description
Join NeuroSphere Dynamics as we pioneer the next wave of artificial intelligence infrastructure for 2026. We're seeking a visionary AI Infrastructure Architect to design, build, and scale next-generation systems that will power the future of autonomous technology. This role combines cutting-edge research with hands-on implementation, pushing the boundaries of what's possible in distributed AI systems.
As a key member of our Future Technologies division, you'll collaborate with Nobel laureates and industry disruptors to create quantum-resistant neural networks and federated learning ecosystems. Your work will directly impact how billions of devices interact with AI by 2026, from smart cities to personalized medicine.
Responsibilities
- Design and implement scalable AI infrastructure supporting 10M+ concurrent neural network operations
- Architect quantum-resistant security frameworks for distributed AI systems
- Develop federated learning protocols enabling cross-organizational model training
- Create predictive infrastructure scaling models for 2026-era AI workloads
- Lead migration from legacy systems to next-gen edge-cloud hybrid architectures
- Establish performance benchmarks for 6G-integrated AI processing pipelines
- Mentor cross-functional teams in emerging AI infrastructure paradigms
Qualifications
- 15+ years in distributed systems architecture with 5+ years in AI/ML infrastructure
- Expertise in Kubernetes, TensorFlow Extended, and high-performance computing
- Published research in quantum computing or federated learning (IEEE/ACM preferred)
- Certification in AWS/GCP/Azure with specialized ML/AI architecture credentials
- Experience scaling systems handling petabyte-scale neural network datasets
- Deep knowledge of 6G, edge computing, and post-quantum cryptography
- Proven track record of building infrastructure supporting AGI research initiatives