Work Arrangement: Hybrid
Employment Type: Direct Hire
Work Hours: Central Time Zone (CT)
The AI Engineer III serves as the primary institutional owner and operational steward of the organization’s generative AI platform. This role is responsible for the administration, oversight, project design, and governance support of the centrally hosted GenAI environment, built on Microsoft Azure AI Foundry and managed in partnership with an external cloud services provider.
This position is a critical member of the organization’s GenAI governance and technology team, supporting platform operations, vendor management, AI agent development oversight, and coordination across the GenAI Governance Committee and its subcommittees.
The Administrator ensures the platform operates within institutional policy guardrails, enables effective adoption by faculty, staff, and researchers, and coordinates with IT, academic, research, compliance, and administrative stakeholders to advance responsible and scalable GenAI use across the organization.
Responsibilities
- Administer cloud-hosted SaaS platforms, including user management, configuration, and feature enablement.
- Support and manage Microsoft Azure, Azure AI Foundry, and enterprise identity management (Entra ID / Azure Active Directory).
- Coordinate multi-stakeholder technology initiatives using strong project management skills.
- Support data governance, information security, and compliance frameworks, including FERPA, HIPAA, and institutional data classification policies.
- Serve as a product owner, translating institutional needs into platform configurations, AI agent designs, and operational workflows.
- Manage vendor relationships, software contracts, and service-level agreements.
- Communicate effectively with technical and non-technical audiences, including executive leadership.
- Support and coordinate governance committee operations, including documentation, reporting, and policy tracking.
- Manage platform adoption initiatives, including training, onboarding, and user support coordination.
Qualifications
Required Education and Experience
- Bachelor’s degree in information technology, Computer Science, Information Systems, or a related field.
- Minimum 3 years of experience in enterprise technology administration, cloud platform management, or IT project management.
Preferred Qualifications
- Master’s degree in Information Technology, Data Science, Higher Education Administration, or a related field.
- Experience with NebulaONE, WaveGPT, or comparable no-code GenAI delivery platforms in a higher education setting.
- Knowledge of AI guardrail frameworks, responsible AI practices, and agentic AI system design.
- Familiarity with API integration, RAG (Retrieval-Augmented Generation) agents, and low-code/no-code AI development.
- Experience supporting institutional governance bodies, academic technology committees, or shared-services technology models.
- Certification in cloud administration, such as Microsoft Azure Administrator, or project management certification such as PMP.
- Understanding of token-based AI consumption models, cost management, and licensing structures.