Remote Full-Time Role / AI Engineer (Major AI Agent Deployment)
globalsource itBismarck (ND)
Remote Full-Time Role / AI Engineer (Major AI Agent Deployment)
Posted 3 days ago
globalsource itBismarck (ND)
SENIORITY
Manager
About the role
GlobalSource IT is a niche recruiting company based in Milwaukee. But enough about us, if you are here you are looking to learn more about our client and the position that they have. Our client is a large privately held institution that is building out their AI Team. In speaking with them during our intake call to learn about this role, it is clear that they have the infrastructure in place for AI success, but require a resource with strong communication, and development and admin skills to develop and deploy customized AI Agents. Please see below for additional information and contact Dave with any questions. Thanks for your time! The AI Engineer III serves as the primary institutional owner and operational steward of the NebulaONE generative AI platform at our client. This role is responsible for the administration, oversight, project design, and governance support of the client’s centrally hosted GenAI environment, built on Microsoft’s Azure AI Foundry and managed in partnership with CloudForce.
Responsibilities:
- Demonstrated ability to administer cloud-hosted SaaS platforms, including user management, configuration, and feature enablement
- Familiarity with Microsoft Azure, Azure AI Foundry, and enterprise identity management (Entra ID / Azure Active Directory)
- Strong project management skills with the ability to coordinate multi-stakeholder technology initiatives
- Knowledge of data governance, information security, and compliance frameworks including FERPA, HIPAA, and institutional data classification policies
- Ability to serve as a product owner, translating institutional needs into platform configurations, AI agent designs, and operational workflows
- Experience managing vendor relationships, software contracts, and service-level agreements
- Strong written and verbal communication skills for presenting to technical and non-technical audiences, including executive leadership
- Capacity to support and coordinate governance committee operations, including documentation, reporting, and policy tracking
- Ability to manage platform adoption initiatives including training, onboarding, and user support coordination
QualificationsRequired Education and Experience:
Bachelor’s degree in information technology, computer science, information systems, or a related fieldANDMinimum 3 years of experience in enterprise technology administration, cloud platform management, or IT project managementORMinimum 2 years of experience in AI/ML platform administration, SaaS product ownership, or GenAI tool deployment within a higher education or research environment
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 (e.g., Microsoft Azure Administrator) or project management (PMP)
- Understanding of token-based AI consumption models, cost management, and licensing structures
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.