Lead AI Architect & Mentor for Campus LLMs

George Mason University; Fairfax (VA); On-site; USD 140,000 - 200,000; Full time

Job summary

George Mason University ITS is seeking a Lead AI Developer to ensure AI agents deployed for faculty research, staff workflows, and student guidance operate reliably and hallucination-free. The role mentors the student incubator, shaping enterprise AI engineers through rigorous code reviews and architectural guidance.

The position drives core agentic architecture, data engineering, and multi-cloud prototyping, aligning with the PatriotAI platform roadmap and lifecycle.

Qualifications

• Bachelor's degree in related field.
• Significant experience in systems engineering, software development, and deploying ML or generative AI in live enterprise production systems.
• Experience with Product Operating Model.
• Advanced proficiency in Python, generative AI frameworks (LangChain, LlamaIndex), and complex RESTful API integrations.
• Demonstrated ability to architect retrieval-augmented generation pipelines connected to enterprise databases.
• Strong communication of complex ML concepts to student developers and mentoring.
• Strong background with Agile methodologies, SDLC, API development, and project/code management.
• Ability to communicate, collaborate and deliver high-value products.

Responsibilities

• Design, code, and deploy foundational AI infrastructure using the Microsoft enterprise stack (Azure AI Studio, Copilot Studio, AI Foundry).
• Build bidirectional intelligence loops to process IoT sensor data for the Campus Digital Twin and create AI copilots for data analysis and grant writing.
• Engineer API integrations connecting Azure AI with the university's SIEM to power AI-driven threat-hunting.

Skills

Mentorship

Leadership

Team collaboration

Education

Bachelor's degree

Tools

Python

LangChain

LlamaIndex

RESTful APIs

RAG pipelines

API development

Prompt engineering

Job description

George Mason University ITS is seeking a Lead AI Developer to ensure AI agents deployed for faculty research, staff workflows, and student guidance operate reliably and hallucination-free. The role mentors the student incubator, shaping enterprise AI engineers through rigorous code reviews and architectural guidance.

The position drives core agentic architecture, data engineering, and multi-cloud prototyping, aligning with the PatriotAI platform roadmap and lifecycle.