About the role
Context Engineering & Deployment FDEs build the foundations behind reliable AI agents. You will work with client data, platform, and security teams to make the right context available and take agent systems securely into production.
What you’ll do
Partner with client data, platform, and security teams to understand their systems, constraints, and production requirements.
Design and build pipelines that turn structured and unstructured data into trusted, useful context for AI agents.
Create secure cloud environments and deployment patterns for agent runtimes, integrations, and supporting services.
Put observability, evaluation, access control, governance, and cost management in place from day one.
Take solutions into production, troubleshoot across the stack, and improve reliability as usage scales.
What you’ll bring
A strong background in data engineering, cloud engineering, platform engineering, or a related field.
Hands-on experience with Python, SQL, data pipelines, APIs, and structured and unstructured data.
Practical knowledge of a major cloud platform, containers, infrastructure as code, CI/CD, and observability.
Understanding of retrieval and context pipelines, data quality, governance, and secure access patterns.