Job Description
We are seeking a visionary Senior AI Infrastructure Architect to define the technological backbone of our operations for the year 2026 and beyond. This is a unique opportunity to work on the cutting edge of Artificial Intelligence, Quantum computing integration, and autonomous systems.
In this role, you will bridge the gap between advanced theoretical research and scalable production engineering. You will be responsible for architecting the neural network infrastructure that powers our next-generation predictive models, ensuring they are robust, secure, and future-proof.
Responsibilities
- Design and deploy scalable, fault-tolerant AI infrastructure on leading cloud platforms (AWS, GCP, Azure).
- Lead Research and Development in High-Performance Computing (HPC) clusters and GPU optimization.
- Implement and maintain MLOps pipelines to ensure seamless model deployment, monitoring, and retraining.
- Collaborate with cross-functional teams to integrate advanced NLP and Computer Vision models into consumer products.
- Define architectural standards for ethical AI, data privacy, and security compliance.
- Oversee the migration of legacy systems to next-gen edge computing architectures.
Qualifications
- Master’s or PhD in Computer Science, Engineering, or a related technical field.
- 10+ years of experience in software engineering with a specific focus on AI/ML systems.
- Deep proficiency in Python, C++, and CUDA for high-performance computing.
- Strong experience with machine learning frameworks (TensorFlow, PyTorch) and orchestration tools (Kubernetes, Airflow).
- Proven track record of leading technical teams and managing complex project lifecycles.
- Understanding of quantum algorithm concepts and future hardware trends.