Job Description
We are seeking a visionary Senior AI Architect to lead the development of our next-generation Project 2026 infrastructure. As a pioneer in autonomous decision-making systems, Zai Frontier Labs is building the backbone of the future. You will be responsible for designing scalable, high-performance neural architectures that can operate in real-time across distributed environments.
In this role, you will bridge the gap between theoretical research and production-grade engineering, ensuring our AI models are robust, efficient, and secure. Join us in defining the standards for artificial intelligence in the coming decade.
Responsibilities
- Architect and deploy scalable deep learning pipelines using Python, TensorFlow, and PyTorch.
- Optimize model inference latency and reduce resource consumption for edge devices and cloud environments.
- Lead the design of microservices architecture to support real-time data processing and model training.
- Mentor a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with cross-functional teams to define technical strategies and roadmaps for Project 2026.
- Implement best practices for MLOps, including CI/CD pipelines, automated testing, and monitoring.
Qualifications
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.
- Minimum of 7+ years of experience in software engineering, with a focus on AI/ML infrastructure.
- Strong proficiency in Python, C++, and modern deep learning frameworks.
- Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Demonstrated experience in designing high-availability systems and handling large-scale data.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.