Senior AI Engineer and Agentic Platforms - Network Architecture

Responsibilities

• Build agentic workflows — loops, graphs, and multi-step pipelines — that carry real hardware network simulation and analysis work end to end.
• Engineer the context these workflows run on, turning our simulation models, specifications, design documents, and source code into context that makes agents accurate in our domain.
• Work closely with network architects to understand their workflows and translate them into agent workflows they use daily.
• Optimize the runtime performance of our simulation tooling on these platforms, including execution time, compute cost, and end-to-end latency.
• Define evaluation and regression testing for agent workflows, so that changes to a prompt, a graph, or a context source are measurable.
• Build observability across agent runs: what the agent did, where it failed, and why.
• Champion guidelines for secure and reliable agent workflows, including data handling, access control, and interaction boundaries.
• Serve as a key technical resource for solving sophisticated integration issues between agents and internal tooling.
• What we need to see
• B.Sc. or above in Computer Science, Computer Engineering, or a related field, or equivalent experience.

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