Job Description
Shape the future of artificial intelligence as our lead AI Systems Architect. Join QuantumLeap Dynamics at the forefront of 2026's technological revolution, designing next-generation neural frameworks that redefine human-machine collaboration. We seek a visionary architect to pioneer scalable AI ecosystems for autonomous systems, predictive analytics, and quantum-entangled computing infrastructures. This role offers unparalleled creative freedom to transform theoretical AI models into production-ready systems powering global industries.
Our dynamic team thrives on innovation, offering competitive equity packages, flexible hybrid work arrangements, and access to cutting-edge research facilities. Be part of the vanguard in developing the AI paradigms that will define the next decade.
Responsibilities
- Architect end-to-end AI systems integrating federated learning, neuromorphic computing, and edge-AI deployment strategies
- Design quantum-resistant neural networks for secure autonomous decision-making frameworks
- Lead cross-functional teams in implementing 6G-integrated AI communication protocols
- Develop ethical AI governance frameworks ensuring bias mitigation and transparency
- Optimize hyperparameter pipelines for trillion-parameter language models
- Create real-time inference engines for distributed AI clusters
- Research and prototype emergent AI paradigms (e.g., generative adversarial networks, diffusion models)
- Collaborate with neuroscientists to develop brain-inspired computing architectures
Qualifications
- PhD in Computer Science, AI, or related field with 5+ years of systems architecture experience
- Expertise in transformer architectures, reinforcement learning, and federated learning
- Proven track record deploying production-grade AI systems at scale (10M+ users)
- Deep understanding of quantum computing principles and quantum-resistant cryptography
- Proficiency in PyTorch, TensorFlow, and distributed computing frameworks
- Experience with MLOps pipelines and cloud-native AI infrastructure (AWS/Azure/GCP)
- Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
- Strong background in ethical AI development and regulatory compliance