Teams at Nelnet

Build and deploy production GenAI solutions on Google Cloud, including agentic assistants, RAG pipelines, model integrations, API tools, and multi-agent systems. Evaluate and tune models, develop LLM testing and regression harnesses, ensure solution quality, and convert client-specific implementations into reusable assets. Collaborate with data engineering, AgentOps, forward-deployed engineering, and engagement teams to deliver secure, reliable solutions for higher education and SLED clients.

Owns the technical relationship between Nelnet’s GenAI delivery team and higher education and SLED clients. Leads discovery, scopes AI solutions, translates requirements into delivery backlogs, surfaces compliance and technical risks, validates acceptance criteria, and advises clients on practical AI adoption. Collaborates with engagement managers, cloud engineers, data engineers, and AgentOps teams to ensure solutions are feasible, compliant, and aligned with institutional needs.

Build and maintain Google Cloud data pipelines and ETL/ELT processes supporting GenAI and RAG solutions. Classify and govern sensitive data using Dataplex and Cloud DLP, enforce access controls, assess AI readiness, and design reusable schemas and data models. Collaborate with engineering, delivery, and client teams to integrate legacy systems, monitor pipeline reliability, conduct data quality testing, document data flows, and proactively identify compliance and delivery risks.