Senior AI AgentOps Engineer - Build Scalable Agents

Pearson; Durham (NC); On-site; USD 90,000 - 135,000; Full time

Benefits offered by this job

Competitive benefits

Annual incentive program

Job summary

Pearson is hiring a Senior Software Engineer for its AgentOps Engineering team. You will build production-grade agentic systems, focusing on write-path features, orchestration, and reliable routing across enterprise AI agents.

The role emphasizes Python backend engineering, cloud-native design, and collaboration to scale digital workers across Pearson. Competitive benefits and annual incentives accompany a full-time, on-site/remote capable role.

Qualifications

• Production-grade agentic systems experience.
• Strong Python and backend engineering with emphasis on reliability.
• Experience with cloud platforms, preferably AWS.
• AI observability and evaluation tooling experience.

Responsibilities

• Build write-path features enabling governed agent actions.
• Design multi-agent orchestration and resilient workflows.
• Develop routing/dispatch to direct work to the right agent.
• Ship with AI-pair-programming; ensure quality via TDD and verification.
• Contribute to reusable standards and shared libraries.

Skills

Python

Backend engineering

Distributed systems

AI orchestration

CI/CD

Tools

AWS

Docker / containerization

CI/CD

Kubernetes

Job description

Pearson is hiring a Senior Software Engineer for its AgentOps Engineering team. You will build production-grade agentic systems, focusing on write-path features, orchestration, and reliable routing across enterprise AI agents.

The role emphasizes Python backend engineering, cloud-native design, and collaboration to scale digital workers across Pearson. Competitive benefits and annual incentives accompany a full-time, on-site/remote capable role.