Job Description
We are seeking a visionary Lead AGI Architect to define the infrastructure of tomorrow. As we race toward 2026, the boundary between human and machine intelligence is dissolving. You will be at the helm of designing the next generation of autonomous systems capable of reasoning, learning, and adapting in real-time.
Why Join Us?
At Zai Neural Systems, we aren't just building software; we are engineering the future of cognition. You will work in a high-performance environment focused on ethical AI development and scalable neural architectures.
Key Responsibilities:
Responsibilities
- Architect scalable, fault-tolerant systems for Artificial General Intelligence (AGI) development and deployment.
- Lead the technical strategy for model alignment, safety protocols, and ethical AI governance.
- Collaborate with quantum computing researchers to integrate hybrid quantum-classical neural networks.
- Optimize deep learning inference pipelines for ultra-low latency and high-throughput environments.
- Define the roadmap for next-gen hardware-software co-design in autonomous agent systems.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Computational Neuroscience, or a related technical field.
- 10+ years of experience in Machine Learning, Deep Learning, or AI research with a focus on large language models.
- Expert proficiency in Python, C++, and distributed systems architecture.
- Deep understanding of Transformers, Reinforcement Learning, and Graph Neural Networks.
- Proven track record of leading high-performance engineering teams and delivering complex systems.