AIOps Engineer

Location: Littleton

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.

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** Configure, maintain, and optimize Enterprise AI platform deployments (Claude, Copilot, Gemini) across Shared Services tenants. Own authentication models  and integration standards.

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** Build and deploy AI Agents for Shared Services teams using established pipeline standards - from platform-native builds to custom Agent development.

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** Build and maintain a shared resource repository of reusable components, patterns, and frameworks that inform enterprise standards.

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** 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.

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** Apply team development  standards - branching strategy, review gates, CI/CD pipelines - to all AI solutions and platform work.

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* + 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

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+ 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 Type Script/Node.js for AI application development

+ Familiarity  with Agent orchestration concepts: multi-step reasoning,  tool chaining, context management

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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

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+ 2-4 years of industry experience

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Experience with Copilot, Gemini, or other foundation models  and workflow automation platforms

+ Familiarity  with evaluation frameworks for AI output quality measurement

+ Dev Ops, 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,…