AI Agent Engineer

Job Description

Job Description

As the most trusted global leader in data-first contract lifecycle management (CLM) software, Agiloft helps organizations manage the end-to-end process of proposing, negotiating, signing, and leveraging contracts using our flexible Data-first Agreement Platform (DAP). With contract data as the foundation, customers quickly and collaboratively reach agreement and leverage contract visibility to thrive with competitive advantage. Employing powerful, pragmatic artificial intelligence as a legal force multiplier, and robust integration capabilities as a data liberator, organizations around the world trust Agiloft’s certified implementers to deliver connected, intelligent, and autonomous solutions across the entire contract lifecycle.

Top analysts like Gartner, Forrester, and IDC agree, all showing Agiloft as a leader in the CLM space. Our no code platform is easily managed and administered by business users, which is why Agiloft is the contract you keep : nearly a full 100% of new customers are satisfied with their initial implementations, and some 97% of customers renew every year. Ours is a growing, vibrant, successful company that is at the forefront of a market that is becoming a must-have for all organizations.

We believe that the way to build the strongest, most vibrant place to work is to bring in individuals from all walks of life, and to support them in bringing their authentic selves to their day, every day. Our working philosophy is that “EX = CX” : when employee experience is excellent, so is customer experience. We support multiple Employee Resource Groups (ERGs), and offer a working environment that supports healthy work / life balance, including floating holidays and a quarterly, no-questions-asked wellness day.

Position Overview

The AI Agent Engineer is a key individual contributor role working cross-functionally to design, deploy, and manage AI agents across Agiloft’s operations. This role is responsible for ensuring that AI agents are safely integrated into enterprise workflows, monitored for performance and compliance, and continuously optimized to deliver measurable business value. The right candidate will have deep experience with machine learning, enterprise integrations, and agent-based systems, while also bringing strategic foresight into how AI agents can redefine workflows and accelerate productivity. Reporting directly to the VP of AI Operations, this role requires a mix of technical execution, ecosystem design, and thought leadership.

Job Responsibilities

• AI Agent Design & Deployment
• Develop, deploy, and maintain AI agents that support and enhance enterprise workflows.
• Collaborate with business stakeholders to identify use cases where AI agents can reduce manual effort, improve accuracy, or deliver new capabilities.
• Ensure safe, compliant, and ethical deployment of agents, aligning with enterprise governance and security requirements.
• Prototype, test, and iterate on agent-driven workflows before broad rollouts.
• Oversight & Performance Management
• Monitor deployed agents to ensure consistent, high-quality performance against KPIs.
• Establish feedback loops and reporting mechanisms for agent accuracy, usability, and business impact.
• Troubleshoot and refine agents based on usage patterns, stakeholder feedback, and system performance data.
• Maintain comprehensive documentation and version control of agent lifecycles.
• Ecosystem & Workflow Integration
• Partner with the GPT & AI Systems Lead to design and evolve Agiloft’s AI agent ecosystem.
• Integrate agents with enterprise systems (CRM, ERP, HRIS, knowledge bases) using APIs and automation frameworks.
• Define interoperability standards to ensure agents complement each other and operate within a unified architecture.
• Work cross-functionally to align agents with organizational goals.
• Strategy & Thought Leadership
• Contribute to the broader vision of AI adoption at Agiloft by shaping the agent ecosystem strategy.
• Stay ahead of emerging trends in multi-agent systems, orchestration, and enterprise AI safety.
• Share knowledge and best practices to upskill colleagues and foster a culture of innovation.
• Act as a trusted advisor to stakeholders on where and how AI agents should (and should not) be deployed.
• Other duties as assigned.

Required Qualifications

Preferred Qualifications

Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All employment decisions at Agiloft are based on business needs, job requirements, and individual qualifications without regard to race, color, religion or belief, national or social ethnic origin, sex, age, sexual orientation, gender identity and / or expression, parental status, marital status, Veteran status, or any other status protected by the laws or regulations in the locations where we operate. If you have a need that requires accommodation during the recruiting process, please let us know by contacting Director, Talent Acquisition, Brad Toothman at brad.toothman@agiloft.com.

Applicants from underrepresented groups such as minorities, veterans, or individuals with disabilities encouraged to apply.

Applications will be reviewed as submitted. There will be no application deadline for this opportunity.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.