AI Integration Engineer

AI Integration EngineerRequired Skills & Experience• 2-5 years of experience supporting, integrating, or administering AI, SaaS, or enterprise technology platforms. • Minimum 2-3 years of experience working with AI/LLM technologies. • Hands-on experience with REST APIs, API integrations, and authentication methods (OAuth, SSO, API keys, etc.). • Experience building, configuring, or maintaining enterprise system integrations. • Strong understanding of AI platforms, LLMs, and emerging AI ecosystem technologies. Experience troubleshooting integration and connector issues.Nice to Have Skills & Experience• Experience with Glean, OpenAI, Claude, or similar enterprise AI platforms. • Experience working with Model Context Protocol (MCP) implementations. • Experience building or supporting custom enterprise connectors. • Experience integrating systems such as Workday, Google Workspace, Slack, Microsoft 365, Salesforce, ServiceNow, or similar enterprise platforms. • Familiarity with AI governance, security, and data access controls. • Experience supporting enterprise-wide AI adoption initiatives.Job DescriptionGoodRx is seeking an AI Integration Engineer to support and scale our enterprise AI ecosystem, including platforms such as Glean, Claude, and OpenAI. This individual will serve as the primary owner of AI platform integrations, APIs, Model Context Protocols (MCPs), and data connectors while providing operational support for platform administration and end-user enablement. This role is approximately 70% integrations and connector development and 30% platform administration and support. The ideal candidate has strong backend systems experience, excellent communication skills, and hands-on experience connecting enterprise systems to AI platforms through both native and custom integrations.Key Responsibilities AI Integrations & Connector Management (70%) • Serve as one of the primary technical owners for AI platform integrations across Glean, Claude, OpenAI, and future AI solutions. • Design, implement, and maintain API-based integrations between enterprise systems and AI platforms. • Configure and manage Model Context Protocol (MCP) integrations to support secure access to enterprise data. • Build, troubleshoot, and optimize both native and custom data connectors. • Partner with internal teams to onboard new enterprise data sources, applications, and knowledge repositories into AI platforms. • Support ongoing connector expansion initiatives, including systems such as Workday and other enterprise applications. • Collaborate with Security, IT, Engineering, and Enterprise Solutions teams to ensure compliant and secure AI integrations. • Troubleshoot connector failures, API issues, authentication problems, and data synchronization challenges.AI Platform Operations & Administration (30%) • Support day-to-day administration of enterprise AI platforms, including Glean, Claude, and OpenAI. • Manage user access, permissions, onboarding, and platform provisioning. • Assist with LLM management, configuration, and operational governance. • Provide Tier 1 support for AI platform users and escalate issues when necessary. • Support platform releases, upgrades, and adoption initiatives.