Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer the next generation of AI infrastructure for 2026. We seek a visionary AI Systems Architect to design and implement cutting-edge neural networks that will redefine human-machine collaboration. This role demands expertise in quantum-resistant algorithms and federated learning frameworks to build secure, scalable AI ecosystems.
You will lead cross-functional teams in developing adaptive AI systems capable of autonomous decision-making in complex environments. Our dynamic environment offers unparalleled opportunities to shape the future of artificial intelligence while working alongside industry pioneers in our state-of-the-art research facilities.
Responsibilities
- Design and implement next-gen AI architectures utilizing quantum computing principles
- Lead development of federated learning frameworks for secure distributed AI systems
- Integrate multimodal neural networks for cross-domain autonomous decision-making
- Optimize AI models for edge-to-cloud deployment with sub-millisecond latency
- Develop ethical AI governance frameworks aligned with 2026 regulatory standards
- Collaborate with quantum computing teams to hybridize classical and quantum AI systems
Qualifications
- PhD in Computer Science/AI with 5+ years in systems architecture
- Expertise in quantum-resistant cryptography and post-quantum algorithms
- Proficiency in federated learning frameworks (TensorFlow Federated, PySyft)
- Experience deploying AI models at edge scale with <1ms latency
- Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
- Certification in Quantum AI Architecture (QAA) or equivalent
- Strong background in ethical AI governance frameworks