Job Description
We are seeking a visionary AI Infrastructure Architect to lead our organization into the 2026 era of scalable, autonomous machine learning systems. As we prepare for the next phase of technological evolution, you will be responsible for architecting the backbone of our AI operations, ensuring high availability, security, and performance at scale.
In this role, you will bridge the gap between cutting-edge research and production-grade infrastructure, implementing strategies that define our 2026 roadmap.
Responsibilities
- Architect and implement scalable AI infrastructure solutions aligned with the 2026 strategic roadmap.
- Design and optimize high-performance GPU clusters and distributed computing environments.
- Collaborate with data science teams to streamline MLOps pipelines and deployment strategies.
- Ensure data sovereignty, security, and compliance across all cloud infrastructure assets.
- Drive technical innovation in serverless computing and edge AI deployment.
- Lead architecture reviews and mentor junior engineers on best practices.
Qualifications
- 10+ years of experience in software engineering, cloud architecture, or infrastructure.
- Deep expertise in Python, Kubernetes, Docker, and Terraform.
- Strong background in cloud platforms (AWS, Azure, or GCP) with a focus on AI/ML workloads.
- Experience implementing large-scale machine learning systems and model serving.
- Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.
- Strong communication skills to translate technical concepts to stakeholders.