IT Systems Administrator & AI Analyst Intern at Athletes… · Remote

Summary: Athletes Unlimited is a company that operates professional women’s sports leagues and is recognized as one of Sports Business Journal's Best Places to Work in Sports. They are seeking an intern to support IT operations and AI development during the softball season, providing hands-on experience with IT support, systems administration, and AI agent development. Responsibilities: - Triage, manage, and resolve Level 1 IT support tickets using the organization's ticketing system - Perform hardware and software break/fix support for end users across departments - Document issue resolution steps and contribute to the internal IT knowledge base - Escalate complex issues to senior IT staff with clear problem summaries and diagnostic steps taken - Assist with Single Sign-On (SSO) configuration and SAML 2.0 integration for organizational applications - Support user provisioning, deprovisioning, and role-based access control (RBAC) within Google Workspace - Help enforce multi-factor authentication (MFA) policies and monitor access compliance - Manage user accounts, groups, organizational units (OUs), and shared drives within Google Admin Console - Configure Google Workspace policies including device management (MDM), data loss prevention (DLP), and security settings - Support email routing, alias management, and calendar resource configuration - Build and test multi-step agentic workflows where AI models reason across tools, retrieve context, and take actions — such as auto-generating tickets, querying knowledge bases, routing requests, or drafting responses - Implement function calling / tool use patterns to connect LLMs (e.g., Gemini, GPT-4, Claude) to live data sources, Google Sheets, internal APIs, or third-party services - Conduct structured testing of agent outputs — including edge case handling, hallucination checks, and regression testing after prompt or model updates - Participate in the full AI project lifecycle: stakeholder requirements gathering, solution design, development, QA, deployment, and post-launch monitoring and iteration - Document all builds with architecture diagrams, data flow specs, prompt libraries, and developer handoff notes to ensure maintainability beyond the internship - Assist in establishing safety guardrails, escalation logic, and human-in-the-loop checkpoints within agent workflows - Collaborate with department leads to evaluate, deploy, and configure AI productivity tools (e.g., Google Gemini for Workspace, Microsoft Copilot, or similar platforms) - Support rollout of AI-assisted tools for content drafting, meeting summarization, and data analysis across teams - Create onboarding materials, training guides, and internal wikis to help staff adopt and effectively use new AI tools - Monitor alerts from Google Workspace security dashboards and escalate anomalies - Monitor Endpoint Security, and take action on outstanding alerts - Monitor Okta logs and report anomalies Required Qualifications: - Rising college senior pursuing a degree in IT, Computer Science, Software Engineering, AI, or a related field - Proficiency in at least one programming language — Python (preferred), JavaScript, or Google Apps Script — with the ability to write, debug, and extend code independently - Hands-on experience or coursework involving AI/LLM integration: calling APIs (OpenAI, Google Gemini, Anthropic Claude, etc.), building prompt chains, or developing agent-based applications - Familiarity with REST API concepts — including authentication (OAuth 2.0, API keys), JSON handling, and working with third-party service integrations - Understanding of or exposure to agentic AI frameworks and concepts such as LangChain, RAG (Retrieval-Augmented Generation), function calling, or tool use patterns - Foundational knowledge of Google Workspace (Gmail, Drive, Admin Console, Meet) and Google Cloud Platform basics - Understanding of SAML 2.0, OAuth 2.0, and SSO concepts - Familiarity with basic networking and operating systems (Windows, macOS, ChromeOS) - Strong written communication skills; able to document technical systems clearly for both developer and non-technical audiences - Legally authorized to work in the United States Preferred Qualifications: - Relevant certifications are a plus: Google IT Support Certificate, CompTIA A+, Google Cloud AI Fundamentals, or DeepLearning.AI courses in LLM application development Required Skills: Python, JavaScript, Google Apps Script, AI/LLM integration, API usage OpenAI, API usage Google Gemini, API usage Anthropic Claude, Prompt engineering, Agent-based application development, REST API, OAuth 2.0, JSON handling, Agentic AI frameworks LangChain, Agentic AI frameworks RAG, Agentic AI frameworks function calling, Google Workspace administration, Google Cloud Platform basics, SAML 2.0, SSO concepts, Networking basics, Operating systems Windows, Operating systems macOS, Operating systems ChromeOS