Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution! We're seeking visionary AI Systems Architects to design next-generation autonomous frameworks that will redefine industries. Our multidisciplinary teams are pioneering quantum-resistant neural networks and decentralized AI ecosystems. This hybrid role offers unparalleled growth opportunities in a startup environment backed by Fortune 500 partners.
What you'll accomplish:
You'll architect scalable AI systems using federated learning techniques, implement blockchain-based data provenance solutions, and lead cross-functional sprints to integrate emerging technologies like neuromorphic computing. Your work will directly impact our autonomous healthcare diagnostics and climate modeling initiatives.
Responsibilities
- Design quantum-safe AI architectures using federated learning protocols
- Lead implementation of decentralized AI networks with zero-knowledge proofs
- Optimize neural networks for edge computing environments
- Develop cross-domain AI integration frameworks for 2026 use cases
- Architect ethical AI governance systems with explainable ML pipelines
- Coordinate with quantum computing teams for hybrid algorithm development
- Drive innovation in neuromorphic computing applications
Qualifications
- 10+ years experience in distributed AI system architecture
- Expertise in quantum-resistant cryptography and post-quantum algorithms
- Proficiency in federated learning frameworks (TensorFlow Federated, PySyft)
- Advanced knowledge of blockchain consensus mechanisms for AI
- Published research in top-tier AI/ML conferences (NeurIPS, ICML)
- Experience with neuromorphic hardware (Intel Loihi, IBM TrueNorth)
- PhD in Computer Science or equivalent breakthrough achievements