Senior Machine Learning Operations Engineer, Agentic Systems Platform Engineering
Role details
Job location
Tech stack
Job description
We are looking for a Senior MLOps Engineer (IC3) 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.
Why This Role Matters
- 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).
Requirements
- 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
Benefits & conditions
Hiring Salary Range: $139,000.00 - 180,000.00.
The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible., * Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
- Generous paid time off.
- An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams.
- Opportunities for both on-site and virtual engagement events.
- Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
- Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount
Paramount is an equal opportunity employer (EOE) including disability/vet.
At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
