About the Role Nelnet is seeking an AIOps Engineer to own the operational backbone of our Enterprise AI platforms and build the AI Agents that power our Shared Services teams. Reporting to the IT Director of AI Delivery, this role is embedded in Shared Services and focused on platform depth, agentic delivery, and cross-team enablement. You will start hands-on with Claude and Anthropic's tooling — prompt engineering, API integration, MCP server configuration, and the skills/evals ecosystem. The underlying principles — context engineering, tool-use patterns, Agent orchestration — transfer directly to custom Agent builds and other platforms that will fall under this team's ownership. Depth on one platform first, then breadth across the portfolio. What You Will Own Platform Configuration & Integration: Configure, maintain, and optimize Enterprise AI platform deployments (Claude, Copilot, Gemini) across Shared Services tenants. Own authentication models and integration standards. Agentic Delivery: Build and deploy AI Agents for Shared Services teams using established pipeline standards — from platform-native builds to custom Agent development. Shared Asset Library: Build and maintain a shared resource repository of reusable components, patterns, and frameworks that inform enterprise standards. Cross-Segment Enablement: Participate in recurring sessions to harvest segment innovations, standardize them, and redistribute org-wide. Serve as the hands-on AI resource for segments without dedicated AI infrastructure. Engineering Standards: Apply team development standards — branching strategy, review gates, CI/CD pipelines — to all AI solutions and platform work. You Will Thrive Here If You want to go deep before going broad — mastering one platform and translating that depth to others You care about the craft of prompting, not just the output You like building things that other teams use as a foundation You are comfortable with ambiguity and energized by writing the playbook rather than following one What You Bring Required: 1–2 years hands-on experience building with Claude or equivalent LLM APIs — prompt engineering, API integration, tool-use and function-calling patterns Proficiency in Python and/or TypeScript/Node.js for AI application development Familiarity with Agent orchestration concepts: multi-step re