AI Systems Engineer

About the role

Strength in Trust

OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society.

The Challenge

The AI Systems Engineer will join OneTrust’s AI Center of Excellence, a team focused on enabling reliable, secure, and scalable adoption of AI and automation across the enterprise. This role supports the day-to-day operation of the team’s AI platforms, integrations, and solutions by following established administration, monitoring, troubleshooting, and documentation processes that help keep services reliable, secure, and supportable as adoption grows. This is an opportunity to contribute to platform reliability, reduce operational overhead, and help the AI Center of Excellence deliver more value safely and efficiently while developing expertise in enterprise AI and automation operations.

Your Mission

- Provide day-to-day administration support for Glean, Claude, Copilot Studio, Power Platform, Microsoft 365 Copilot, and related AI platforms across sandbox, development, QA, and production environments.

- Configure, maintain, and monitor native connectors and MCP access, indexing and crawling processes, authentication, integration performance, and connector health.

- Provide first-line support for chat, agent, connector, indexing, authentication, and permission-related issues; diagnose problems, resolve issues within established procedures, and escalate when appropriate.

- Participate in testing, UAT, deployment validation, release readiness, and post-release support for feature and agent enablement to maintain solution stability.

- Support AI incident triage by gathering symptoms, scope, and impact, and document findings to contribute to root-cause analysis of platform outages, change-related failures, authentication or integration issues, and capacity or credit shortages.

- Monitor AI platform usage, consumption, and credit utilization.

- Review inventories for redundant or abandoned resources, including unused skills, agents, Power Automate flows, connectors, and related configurations, and assist with approved cleanup.

- Maintain accurate configuration records, operational documentation, inventories, runbooks, known-issue registers, deployment evidence, and compliance documentation.