Job Description
We are seeking a visionary Lead AI Architect to spearhead the development of our 2026-ready generative intelligence framework. As the industry shifts toward autonomous neural systems and quantum-enhanced processing, your role will be critical in defining the architecture that powers the next generation of human-machine symbiosis.
You will be at the forefront of innovation, tasked with solving complex problems in scalability, latency, and energy efficiency. If you are passionate about the future of computing and want to build systems that think, adapt, and evolve, we want to meet you.
Responsibilities
- Design and deploy scalable neural network architectures optimized for edge computing environments.
- Lead a cross-functional team in researching neuromorphic computing models to reduce energy consumption.
- Architect secure, decentralized data pipelines for real-time AI inference.
- Collaborate with quantum computing researchers to integrate hybrid classical-quantum algorithms.
- Define technical standards and best practices for the AI infrastructure roadmap.
- Mentor junior engineers and foster a culture of technical excellence.
Qualifications
- PhD in Computer Science, Computational Neuroscience, or a related field.
- 10+ years of experience in machine learning engineering and software architecture.
- Deep expertise in PyTorch, TensorFlow, and CUDA.
- Experience with quantum computing frameworks (Qiskit, Cirq) is highly preferred.
- Proven track record of leading high-impact technical projects from conception to production.
- Strong understanding of distributed systems and cloud-native technologies.