Job Description
Join the Architects of the Future. At Zai Horizon, we are not just building software; we are engineering the intelligence layer that will define the 2026 era. We are looking for a visionary Senior AI Architect to lead our R&D division in developing next-generation generative models and autonomous agent systems.
In this role, you will bridge the gap between theoretical machine learning breakthroughs and scalable production systems. You will define the architectural standards for our 2026 roadmap, focusing on multimodal AI, real-time inference, and edge-computing optimization. If you are passionate about pushing the boundaries of what is possible with Artificial General Intelligence (AGI) and want to work in a high-impact, forward-thinking environment, we want to meet you.
Why join us? We offer a competitive compensation package, equity options, and the opportunity to shape the future of technology.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement robust, scalable architectures for large-scale language models and multimodal AI agents.
- Roadmap Leadership: Define the technical vision for our 2026 products, identifying emerging trends in neural architecture search and automated machine learning (AutoML).
- Model Optimization: Drive research and development to reduce inference latency and optimize model size for edge deployment on consumer hardware.
- System Integration: Lead the integration of LLMs into complex enterprise workflows, ensuring security, privacy, and high performance.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning within the AI lab.
- Research Publication: Collaborate with academic institutions and contribute to open-source communities to advance the state-of-the-art.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field with a focus on Deep Learning.
- Experience: 5+ years of professional experience in Machine Learning Engineering, with at least 2 years in a lead or architect role.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
- Specialized Knowledge: Strong background in Natural Language Processing (NLP), Transformer architectures, and RAG (Retrieval-Augmented Generation) systems.
- Cloud Mastery: Proven experience deploying models on cloud platforms (AWS, GCP, or Azure) with Kubernetes.
- Problem Solving: Demonstrated ability to solve complex technical challenges in unstructured environments.