Job Description
Welcome to the frontier of 2026-ready technology. At Zai Horizon, we aren't just building software; we are architecting the future of intelligence. We are seeking a visionary Senior AI Evolution Architect to lead the charge in developing next-generation neural networks and autonomous systems.
In this pivotal role, you will bridge the gap between cutting-edge theoretical research and scalable production infrastructure. If you are passionate about defining the technological landscape of the future and possess an unparalleled depth of expertise in artificial intelligence, we want to meet you.
Why Join Us?
- Future-First Environment: Work on projects that will define the 2026 tech landscape.
- Unmatched Compensation: Competitive salary and equity package.
- Autonomy: Lead architectural decisions without bureaucratic red tape.
Responsibilities
- Architect Future-Proof Systems: Design and oversee the development of scalable AI infrastructure capable of handling 2026-scale data volumes and complexity.
- Lead R&D Initiatives: Spearhead research into emerging paradigms such as generative adversarial networks (GANs) and large language model (LLM) fine-tuning.
- Technical Mentorship: Cultivate a high-performance engineering culture, mentoring junior architects and data scientists to reach their full potential.
- Optimization Strategy: Drive the optimization of model inference and training times, ensuring our systems remain at the bleeding edge of efficiency.
- Cross-Functional Collaboration: Partner with product managers and data scientists to translate complex AI capabilities into user-centric products.
- Security & Compliance: Implement robust security protocols to ensure data integrity and ethical AI usage across all platforms.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field, with a focus on Artificial Intelligence.
- Experience: 7+ years of professional experience in software engineering, with at least 3 years dedicated to AI/ML architecture.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Experience with distributed computing systems (Kubernetes, AWS, GCP) is mandatory.
- Model Engineering: Proven track record of deploying complex deep learning models to production environments with high availability.
- Leadership: Demonstrated ability to lead technical teams, manage project lifecycles, and communicate complex technical concepts to non-technical stakeholders.
- Future Vision: A deep curiosity for emerging technologies and a passion for staying ahead of industry trends.