AI Agent Engineer

LexisNexis Risk Solutions is an essential partner in the assessment of risk, offering solutions to help businesses drive revenue growth and improve customer experience. The AI Agent Engineer plays a critical role in ensuring AI agents operate safely and reliably in enterprise environments, focusing on operational design, execution, and continuous optimization of AI agents and workflows.

Responsibilities:

• Support the operational design and execution of AI agents and multi‑agent workflows used across business and technology teams
• Monitor agent behavior, outputs, and reliability in production environments, identifying performance issues, errors, or unexpected behaviors
• Tune and optimize agent configurations, prompts, workflows, and execution logic to improve output quality and operational stability
• Integrate AI agents with enterprise systems, APIs, Model Context Protocols (MCP), and internal or external data sources
• Implement and maintain runtime guardrails, escalation paths, and human‑in‑the‑loop controls to ensure safe and compliant AI operation
• Investigate and resolve operational issues related to agent performance, data access, or system integration
• Document workflows, configurations, and operational procedures to support repeatability and governance
• Collaborate with AI engineers, data teams, platform teams, and business stakeholders to support the controlled rollout of AI capabilities