Senior Machine Learning Operations Engineer, Agentic Systems Platform EngineeringParamount Global Services • United States
Senior Machine Learning Operations Engineer, Agentic Systems Platform Engineering
Paramount Global Services
- United States
- United States
Über
We are looking for a Senior MLOps Engineer to join the Platform Engineering pod. Your mission is to build the Agentic Systems Platform—the runtime environment where autonomous agents live, reason, and collaborate. You will lead the development of the MCP (Model Context Protocol) Gateway, routing logic, and the orchestration support required for multi-agent personalization systems. In this role, you will bridge the gap between traditional ML serving and autonomous agency. You will lead the design of agentic runtimes using GKE and Apigee, utilizing the ADK (Agent Development Kit) and A2A (Agent-to-Agent) protocols to enable complex workflows. Your challenge is to manage the "thinking time" and cognitive overhead of agentic systems, ensuring they remain responsive and cost-effective in a production environment. Architecting Agency: You are building the foundation for our shift from passive models to active, reasoning agents. Governance & Routing: Your work on the MCP Gateway ensures that agents can safely access the tools and context they need to perform their tasks. Collaborative Intelligence: By mastering A2A orchestration, you enable a new class of multi-agent applications that solve problems individual models cannot. 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 Preferred Qualifications: Familiarity with A2A protocols Experience managing long-running stateful workflows
Sprachkenntnisse
- English
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