Job Description
We are seeking a forward-thinking Senior AI Infrastructure Architect to architect the backbone of our next-generation AI ecosystem. As we gear up for the massive scale required in 2026, we need a visionary leader who can design resilient, high-performance systems capable of handling complex neural network computations at lightning speeds.
In this role, you will define the technical strategy for our AI infrastructure, ensuring seamless integration between cloud environments and on-premise hardware. You will work closely with our research team to translate cutting-edge algorithms into robust, scalable services that drive our business forward.
Responsibilities
- Design and implement scalable microservices architectures optimized for AI workloads and GPU clusters.
- Lead the migration and modernization of legacy systems to ensure readiness for 2026 standards.
- Oversee the deployment of MLOps pipelines to automate model training and deployment.
- Ensure high availability and security of AI data pipelines and model endpoints.
- Collaborate with cross-functional teams to define technical roadmaps and architectural best practices.
Qualifications
- Minimum of 5 years of experience in systems architecture with a focus on Machine Learning or Artificial Intelligence.
- Expert proficiency in Python, C++, or Go and deep knowledge of TensorFlow/PyTorch.
- Strong experience with Kubernetes, Docker, and cloud platforms (AWS/GCP/Azure).
- Experience with distributed computing frameworks and high-performance computing (HPC).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.