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• CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.

• CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.

• If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.

 

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.

 

JOB DESCRIPTION AND POSITION REQUIREMENTS

Subject Matter Expert– Penn State Great Valley, School of Graduate and Professional Studies A-I 850 / DAAN 850: Autonomous AI Agents (Graduate Level)

Penn State Great Valley, located in Malvern PA, is seeking a Subject Matter Expert (SME) to support the development of an 800-level graduate course focused on autonomous AI agents and LLM-based systems. The course emphasizes applied design, enterprise integration, multi-agent architectures, prompt engineering, planning and reasoning systems, tool invocation, and responsible deployment of AI agents in real-world contexts. The SME will be partnered with an Instructional Designer

Job Duties

• Develop and review advanced technical content across 15 course modules.
• Contribute real-world case studies, lab concepts, and applied assignments.
• Advise on agent architectures, orchestration frameworks, and enterprise deployment practices.
• Support development of a capstone group project involving a deployable AI agent system.
• Collaborate with instructional design and faculty teams.

Requirements and Qualifications

• Skillset in Computer Science, AI, Data Science, or related field.
• Demonstrated expertise in LLM-based systems, prompt engineering, RAG, and multi-agent architectures.
• Experience deploying AI systems in enterprise or research environments.
• Ability to communicate complex technical concepts clearly.

Preferred Qualifications

• Experience teaching or mentoring graduate students.
• Knowledge of AI governance, compliance, and production-scale deployment.
• Familiarity with agent orchestration frameworks (e.g., LangChain, AutoGen, CrewAI).

This is a project-based engagement supporting development of a high-impact graduate course preparing students to design and deploy autonomous AI systems in professional environments.

Additional Notes: Applicants should submit both a cover letter and resume that highlight the qualifications and experience that prepare them for this opportunity.

 

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.

 

 

 

CAMPUS SEC