AI Systems Engineer
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.
Support users, citizen developers, and business stakeholders through onboarding, training, office hours, and troubleshooting guidance.
Document opportunities to improve operational processes, platform reliability, supportability, and delivery efficiency.
You Are
BA or BS in Computer Science, Information Science, Engineering, or a related field, or equivalent practical experience.
Experience in technical operations, platform administration, systems integration, automation, AI technologies, SaaS administration, or a related field.
Hands-on experience supporting or administering an enterprise AI, automation, integration, or SaaS platforms.
Foundational knowledge of APIs, OAuth, service accounts, webhooks, connectors, authentication, and permissions.
Experience supporting production technology environments and assisting with changes across development, test, and production environments.
Troubleshooting skills, including resolving common issues using established procedures, assessing impact, communicating status, gathering information for root-cause analysis, and escalating appropriately.
Ability to monitor platform health, integration performance, usage and consumption, authentication expiry, and cost or credit trends.
Ability to work independently on defined tasks, prioritize competing demands, exercise sound judgment within established standards, and recognize and escalate operational risks.
Strong communication, documentation, and collaboration skills, including the ability to support technical and non-technical stakeholders.
Commitment to secure, governed, and supportable operations, including adherence to established standards, controls, and compliance requirements.
Extra Awesome
Experience with one or more of the following applications: Glean, Claude, Microsoft 365 Copilot, Copilot Studio, or Power Platform.
Experience creating integrations with enterprise platforms such as Jira, Salesforce, Workday, Ironclad, Snowflake, GitLab, Highspot or similar systems.
Understanding of prompt design, orchestration patterns, and AI solution behavior across agentic and automation use cases.
Experience with AI architecture, MCP tethering, A2A automations, and/or AI testing protocols.
Hands-on experience building complex agentic AI solutions or automations.
For California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington-based candidates: the annual base pay range for this role is listed below. Within this range, individual pay is determined by several factors, including location, job-related skills, work experience, and relevant education and/or training. This role may also be eligible for discretionary bonuses, equity, and/or commissions, as well as benefits.
Salary Range
$81,150—$108,200 USD