Design and deploy AI-powered automation pipelines that support operational workflows.
Integrate automation solutions within Nelnet's existing AI infrastructure — LLM APIs, orchestration platforms, and workflow tooling.
Consult with internal teams to eliminate manual, repetitive processes across cybersecurity operations through scalable AI solutions.
Apply DevSecOps principles throughout the software delivery lifecycle.
Collaborate with stakeholders to translate business and compliance requirements into well-scoped automation solutions.
Continuously evaluate emerging AI and automation capabilities for opportunities across cybersecurity team workflows.
Requirements:
Knowledge equivalent to the completion of a Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field of study.
2–4 years of experience in AI/ML engineering, automation development, solutions engineering, or DevOps/DevSecOps.
Hands-on experience building and integrating with LLMs or AI APIs (e.g., OpenAI, Anthropic, Azure OpenAI, or open-source models).
Proven experience developing automated workflows, data pipelines, or AI-driven solutions in production environments.
Experience with AI orchestration frameworks (e.g., LangChain, LlamaIndex, n8n, or similar) and prompt engineering practices.
Experience with GRC or risk/compliance process automation is a plus.
Security certifications (Sec+, CISSP, etc.) not required but is a plus.