Job Description
Join QuantumLeap Technologies at the forefront of 2026's AI revolution. We're seeking visionary AI Systems Architects to design next-generation neural networks and quantum-enhanced machine learning frameworks. Shape the future of autonomous systems, predictive analytics, and human-AI collaboration in our state-of-the-art Silicon Valley campus.
Responsibilities
- Design and implement scalable AI architectures using federated learning and edge-computing paradigms
- Lead development of multimodal AI systems integrating computer vision, NLP, and predictive modeling
- Optimize neural networks for quantum computing environments and hybrid classical-quantum systems
- Architect secure-by-design frameworks with embedded ethical AI governance protocols
- Collaborate with quantum engineers to pioneer new algorithmic approaches for 2026-era challenges
- Drive innovation in autonomous decision-making systems with explainable AI capabilities
Qualifications
- 10+ years in AI/ML architecture with 5+ years in quantum computing integration
- Expertise in PyTorch, TensorFlow, and quantum SDKs (Qiskit, Cirq)
- PhD in Computer Science or equivalent with published research in quantum machine learning
- Proven track record deploying production-grade AI systems handling >10B daily transactions
- Deep understanding of NIST AI Risk Management Framework and EU AI Act compliance
- Experience with distributed AI systems across hybrid cloud and edge infrastructure
- Certification in Quantum Machine Learning from recognized institution (e.g., IBM Q Network)