Job Description
Are you ready to define the future of intelligent systems?
Zai Dynamics is seeking a visionary Senior AI Architect to spearhead our strategic roadmap for 2026. In this pivotal role, you will bridge the gap between theoretical AI research and scalable enterprise solutions, ensuring our platforms remain at the forefront of innovation.
We are not just building software; we are architecting the digital landscape for the next decade. You will work in a high-performance environment where cutting-edge research meets practical application, directly influencing our product trajectory for the upcoming years.
Responsibilities
- Lead the architectural design and implementation of AI/ML systems specifically targeting the 2026 product release cycle and beyond.
- Define technical standards and best practices for machine learning operations (MLOps) to ensure scalability and reliability.
- Collaborate with cross-functional product teams to translate complex business requirements into robust, future-proof technical solutions.
- Conduct deep research into emerging AI technologies and evaluate their viability for integration into our core stack.
- Mentor a team of junior data scientists and engineers, fostering a culture of continuous learning and technical excellence.
- Optimize existing models for inference speed, energy efficiency, and cost reduction.
- Drive the strategic vision for our AI infrastructure, ensuring alignment with long-term business goals.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 7 years of professional experience in AI, Machine Learning, or Data Science, with at least 3 years in a senior architectural or lead role.
- Expert proficiency in Python, PyTorch, TensorFlow, and modern Hugging Face libraries.
- Deep understanding of distributed systems, cloud architecture (AWS, GCP, or Azure), and containerization (Docker/Kubernetes).
- Proven track record of delivering production-grade AI products from conception to deployment.
- Strong mathematical background in linear algebra, calculus, and probability.
- Excellent verbal and written communication skills, capable of articulating complex technical concepts to non-technical stakeholders.