Nelnet is looking to drive the adoption of Agentic AI across the company by co-developing advanced AI workflows and building custom Agentic AI platforms and applications at an enterprise level.
Requirements
- 1+ years experience creating end-to-end agentic workflows.
- Experience building multi-agent ecosystems and agent-to-agent connections.
- VS Code, Python, JavaScript, React.js, Node.js, pyspark, scikit-learn, Jupyter, SQL.
- AWS Bedrock, GCP Vertex AI, Docker, Kubernetes, MongoDB, BigQuery.
- GPT-4.0, Anthropic Claude, RAG, Neo4j, GraphRAG, multimodal AI, IBM Bee-Hive.
- Naïve Bayes, Random Forests.
- NIST, OWASP, ATLAS-MITRE, GDPR.
Responsibilities
- Design, build, and optimize AI Agents using advanced methods (e.g., Naïve Bayes, Random Forests) and understand their impact on agent performance.
- Work across multi-cloud and on-premises environments, selecting appropriate cloud-native resources (e.g., AWS Bedrock, GCP Vertex AI, Docker, Kubernetes, MongoDB, BigQuery) to support AI initiatives.
- Assess and recommend AI technologies and techniques (e.g., GPT-4.0, Anthropic Claude, RAG, Neo4j, GraphRAG, multimodal AI, IBM Bee-Hive) for various business needs.
- Build AI Agents end-to-end using tools such as VS Code, Python, JavaScript, React.js, Node.js, pyspark, scikit-learn, Jupyter, SQL.
- Develop, train, and fine-tune machine learning models and large language models (LLMs).
- Apply best practices in AI governance, security, and compliance (e.g., NIST, OWASP, ATLAS-MITRE, GDPR).
- Explain AI concepts to both technical and non-technical audiences; facilitate training and pilot projects.
Other
- Ability to obtain a U.S. 6C Security Clearance.
- United States citizenship.
- Serve as an AI advocate, coaching and empowering teams to develop and deploy AI Agents.
- Explain AI concepts to both technical and non-technical audiences; facilitate training and pilot projects.
- Bachelor’s degree in AI/ML Engineering, Computer Science, Data Science, or a related field (or equivalent experience).
