Role Snapshot
An AIOps Engineer responsible for owning the operational backbone of Nelnet's Enterprise AI platforms and building AI Agents to power Shared Services teams. This role is embedded within Shared Services, focusing on platform depth, agentic delivery, and cross-team enablement.
Job Description
Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer, professional services company, consumer loan originator and servicer, payments processor, renewable energy solutions, and K-12 and higher education expert. For over 40 years, Nelnet has been serving its customers, associates, and communities. The perks of working at Nelnet go beyond our benefits package. When you join the Nelnet team, you're part of a community invested in the success of each individual. That support comes through in our work, as we are united by our mission of creating opportunities for people where they live, learn, and work. About Nelnet, Inc. Nelnet (NYSE: NNI) is a publicly traded financial services and technology company headquartered in Lincoln, Nebraska. Founded with roots in education finance, Nelnet has grown into a diversified holding company with primary businesses spanning consumer lending, loan servicing, payments, and technology. 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 reasoning, tool chaining, context management Experience with MCP servers or equivalent integration patterns Proficiency with context and token optimization Familiarity with governance, compliance, and security principles as they apply to responsible AI deployments Preferred: 2–4 years of industry experience Experience with Copilot, Gemini, or other foundation models and workflow automation platforms Familiarity with evaluation frameworks for AI output quality measurement DevOps, CI/CD, or agile development background applied to AI deployment pipelines Experience building autonomous AI Agents for enterprise workflows — not just chatbots or assistants **Pay range for this role is- $100,000 - $150,000 depending on experience Our benefits package includes medical, dental, vision, HSA and FSA, generous earned time off, 401K/student loan repayment, life insurance & AD&D insurance, employee assistance program, employee stock purchase program, tuition reimbursement, performance-based incentive pay, short- and long-term disability, and a robust wellness program. Click here to learn more about our benefits: LINK. Nelnet is committed to providing a welcoming and respectful workplace where all associates have the opportunity to succeed. As an Equal Opportunity Employer, we ensure that all qualified applicants are considered for employment. Employment decisions are made without regard to race, color, religion/creed, national origin, gender, sex, marital status, age, disability, use of a guide dog or service animal, sexual orientation, military/veteran status, or any other status protected by federal, state, or local law. We value the unique contributions of every team member and believe that a positive work environment benefits everyone. Qualified individuals with disabilities who require reasonable accommodations in order to apply or compete for positions at Nelnet may request such accommodations by contacting Corporate Recruiting at 402-486-5725 or corporaterecruiting@nelnet.net. Nelnet is a Drug Free and Tobacco Free Workplace. You may know Nelnet as the nation’s largest student loan servicer – but we do more than that. A lot more. We’re also a professional services company, consumer loan originator and servicer, payment processor, renewable energy innovator, and K-12 and higher education expert (and that’s just a shortlist). For over 40 years, we’ve been serving our customers, associates, and communities to make dreams possible. EEO Info | EEO Letter | EPPA Info | FMLA Info

