Job Description
Architecting the Future of Intelligence
Join Zai Future Systems as our Senior AI Architect. We are on a mission to define the technological landscape for the year 2026 and beyond. In this role, you won't just maintain existing systems; you will build the next generation of neural architectures, generative AI models, and scalable cloud infrastructures that will power the digital world of tomorrow.
At Zai, we believe in the power of human-AI collaboration. We are looking for a visionary technologist who can translate abstract concepts into robust, production-ready code. If you are ready to lead the charge in the next evolution of AI, this is your opportunity.
Responsibilities
- Lead System Design: Design and implement scalable AI infrastructure, focusing on Generative AI (LLMs) and predictive analytics pipelines for the 2026 roadmap.
- Model Optimization: Oversee the training, fine-tuning, and deployment of large-scale machine learning models to ensure high performance and low latency.
- Technical Strategy: Collaborate with C-level executives to define long-term technical strategies and roadmaps that align with business goals.
- Team Leadership: Mentor a team of junior data scientists and engineers, fostering a culture of innovation and continuous learning.
- Security & Compliance: Ensure all AI systems adhere to strict data privacy regulations and security best practices.
- Research & Development: Stay at the forefront of industry trends, researching new technologies like quantum computing interfaces or neuromorphic chips.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: Minimum of 8 years of experience in software engineering and 5 years specifically in AI/ML architecture.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
- Architecture: Proven track record of designing microservices architectures and distributed systems.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
- Problem Solving: Demonstrated ability to troubleshoot high-stakes system failures and innovate under pressure.