Job Description
We are seeking a visionary Senior AI Architect to lead the development of our cutting-edge generative models. As we approach the pivotal year of 2026, we are redefining the boundaries of artificial general intelligence (AGI) and neural architecture. In this role, you will be responsible for designing the core infrastructure that will power the next generation of autonomous systems, ensuring scalability, ethical AI compliance, and breakthrough performance.
Join a team of world-class researchers and engineers dedicated to solving the world's most complex data challenges. You will have the autonomy to experiment with novel architectures and the resources to deploy them at scale.
Responsibilities
- Architect the 2026 Roadmap: Design and implement scalable neural network architectures focused on next-gen LLMs and multimodal models.
- Optimize Performance: Lead initiatives to reduce latency and increase inference throughput for real-time applications.
- Research & Development: Conduct cutting-edge research to pioneer new techniques in self-supervised learning and reinforcement learning.
- Model Deployment: Oversee the end-to-end MLOps pipeline, ensuring models are production-ready, monitored, and maintained.
- Ethical AI Governance: Establish frameworks for bias mitigation and safety protocols within our model training pipelines.
- Technical Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in Deep Learning, with at least 2 years in a senior architect or lead role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and CUDA programming.
- Domain Knowledge: Deep understanding of transformer models, attention mechanisms, and large-scale distributed training.
- Problem Solving: Exceptional ability to debug complex systems and optimize resource-constrained environments.
- Communication: Strong verbal and written communication skills, capable of presenting complex technical concepts to non-technical stakeholders.