Job Description
We are building the infrastructure for the year 2026. As a Senior AI Architect, you will spearhead the development of next-generation autonomous agents and synthetic data ecosystems. In this pivotal role, you will bridge the gap between theoretical AI research and scalable production environments, ensuring our solutions are not just advanced, but transformative. Join us in defining the standard for Artificial General Intelligence by 2026.
Responsibilities
- Architect and deploy scalable Large Language Model (LLM) infrastructures capable of handling petabyte-scale data.
- Lead research initiatives into reinforcement learning from human feedback (RLHF) and synthetic data generation.
- Collaborate with product and engineering teams to define the roadmap for autonomous AI systems in the 2026 era.
- Ensure robust security protocols, data privacy, and ethical guidelines in all AI deployments.
- Mentor a high-performing team of data scientists and machine learning engineers.
- Optimize model latency and inference costs for real-time applications.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 7+ years of experience in machine learning engineering, AI architecture, or data science.
- Deep expertise in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
- Proven track record of leading complex AI projects from concept to production deployment.
- Strong understanding of transformer architectures, vector databases, and MLOps pipelines.