Are you excited to help operate and improve AI agents that deliver reliable, real-world outcomes in production environments?
Do you enjoy working at the intersection of automation, systems monitoring, and human oversight to ensure safe and high-quality AI performance?
About the Business:LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below,
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About the Team:We are a newly formed Enterprise AI team focused on enabling agent-based solutions across the organization. We build and manage the environments, platforms, and guardrails that allow teams to create, test, and scale AI agents safely and efficiently turning experimentation into real business impact.
We're a team of curious builders and operators who are constantly exploring, learning, and applying new AI tools and approaches to solve real-world problems and improve how work gets done.
About the Role:The AI Agent Engineer plays a critical role in ensuring AI agents run safely, reliably, and effectively within enterprise environments. This position supports the operational design, execution, and continuous optimization of AI agents and agent-based workflows. The role emphasizes practical execution, system integration, monitoring, and governance controls rather than model development or research.
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
Requirements:- 1-2 years of experience in a technical or operational role such as data operations, application support, system operations, or AI platform support
- Basic understanding of AI concepts such as agents, prompts, workflows, APIs, and automation
- Experience working with APIs, enterprise systems, or data integrations
- Ability to monitor systems, analyze outputs, and identify patterns or anomalies
- Strong attention to detail and a methodical approach to operating production systems
- Clear written and verbal communication skills, including the ability to document processes and issues
- Comfort working in environments that blend automation with human oversight and escalation
Preferred Qualifications:- Exposure to AI platforms, LLM-based systems, or automation tools
- Experience working with guardrails, approval workflows, or human-in-the-loop processes
- Familiarity with data governance, security, or compliance concepts
- Experience supporting production environments with reliability or uptime considerations
What This Role Is (and Is Not)This role is:- An operational, hands-on role focused on running and improving AI agents in production
- A bridge between AI engineering, data, and business teams
- Focused on reliability, quality, and safe execution
This role is not:- An AI research or model-training role
- A traditional software engineering role
- A pure data science or analytics position
Career GrowthThis role provides a strong foundation for future growth into AI operations, platform engineering, reliability engineering, or advanced AI solution roles as enterprise AI adoption continues to scale.
Working for You:We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs.
- Life Assurance Policies: Providing financial security for your loved ones.
- Modern Family Benefits: Support for maternity, paternity, and adoption needs.
- Long Service Award: Recognition for your dedication and loyalty.
- Celebratory Allowance/Gifts: Marking special occasions to celebrate with you.
- Flexible Benefits Plan : Offering you wider choice of services and products
- Employee Assistance Program : Access support for personal and work-related challenges.
- Flexible Working Arrangements: Balance work and personal life effectively.
- Access to Learning and Development Resources: Empowering your professional growth.
Risk benefit statementLearn more about the LexisNexis Risk team and how we work: ;br>U.S. National Base Pay Range: $78,800 - $131,300. Geographic differentials may apply in some locations to better reflect local market rates.If performed in Ohio, the base pay range is $74,900 - $124,700.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-.
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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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