AI Systems Engineer

OneTrust•Atlanta, GA

2d•$81,150 - $108,200•Hybrid

About The Position

The AI Systems Engineer will join OneTrust’s AI Center of Excellence, which enables reliable, secure, and scalable adoption of AI and automation across the enterprise. The role supports day-to-day operation of AI platforms, integrations, and solutions by following established administration, monitoring, troubleshooting, and documentation processes. It contributes to platform reliability, reduces operational overhead, and helps the team deliver value safely and efficiently as adoption grows. The role provides administration and operational support for enterprise AI platforms and their integrations across sandbox, development, QA, and production environments. It includes monitoring platform and connector health, assisting with testing and releases, supporting users and stakeholders, and maintaining operational and compliance documentation.

Requirements

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 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.

Nice To Haves

Experience with one or more of 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.

Responsibilities

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 and resolve problems within established procedures and escalate when appropriate.
Participate in testing, UAT, deployment validation, release readiness, and post-release support for feature and agent enablement.
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.