Cloud Engineer

Teradata is at the forefront of unlocking data's full potential, particularly within the dynamic field of autonomous and agentic systems. Our Teradata AI Studio platform and innovative Enterprise Vector Store are empowering large enterprises to extract significant value from complex data. We are building advanced AI agents that integrate deeply into business operations, transforming data into actionable insights and measurable outcomes. This role involves architecting foundational components for production-grade AI systems, including agent frameworks, LLM pipelines, and robust observability and evaluation layers. You will focus on creating AI systems that are not only powerful but also observable, resilient, and production-ready, collaborating with a distinguished team of AI researchers, engineers, and data scientists. Key responsibilities include designing and deploying containerized applications with Docker and Kubernetes, implementing CI/CD pipelines with Terraform for infrastructure as code, managing MLOps practices, optimizing LLM deployments, and spearheading the development of infrastructure for AI agent orchestration. Experience with cloud platforms like AWS, Azure, or GCP, containerization, Kubernetes, MLOps, and LLMs is essential.