Senior Machine Learning Operations Engineer, Agentic Systems Platform Engineering
Paramount · Burbank, CA · 5 days ago
On-siteInformation Technology$139k–$209k/yrFull-time
Key Responsibilities
- Lead Platform Design: Architect the production runtime for agentic systems, focusing on low-latency tool-use and state management.
- Own the MCP Gateway: Design and implement the routing and security layer for agentic tool-use via Apigee.
- Standardize Agentic Workflows: Develop orchestration patterns using ADK and A2A that are adopted by pods across the AMLG.
- Performance Management: Monitor and optimize agentic "thinking" cycles to balance reasoning depth with production latency constraints.
- Mitigate System Risks: Proactively identify and fix failure modes unique to agentic systems (e.g., tool-use loops or context window overflows).
Minimum Qualifications
- 4–8+ years in MLOps or Platform Engineering
- Experience with API Gateways (Apigee) and K8s (GKE)
- Background in Agentic Orchestration
- Familiarity with A2A protocols
- Experience managing long-running stateful workflows
Preferred Qualifications
- Familiarity with A2A protocols
- Experience managing long-running stateful workflows