In A Nutshell
Under the general supervision of the Assistant Vice President (AVP) of IT and Technology Strategy Officer (TSO), the AI Solutions Engineer serves as a key technical enabler for driving the design, development, and deployment of agentic solutions and AI-integrated workflows across the university community. The incumbent consults independently with campus stakeholders to evaluate opportunities and architect cost-effective, scalable solutions; engineers, configures, tests, and deploys context-grounded agentic solutions and AI-integrated workflow solutions.
Responsibilities
- Consults independently with campus stakeholders to evaluate opportunities and architect cost-effective, scalable solutions; discerning when to deploy agentic, AI-enabled, or AI-integrated workflow automations (such as support agents, research accelerators, or complex administrative process automations) to streamline university activities.
- Authors clear technical design write-ups, architectural specifications, integration blueprints, and cost models to secure stakeholder buy-in and funding prior to building proposed solutions.
- Engineers, configures, tests, and deploys context-grounded agentic solutions and AI-integrated workflow solutions.
- Configures robust defense mechanisms, including prompt injection mitigations, abuse guardrails, evaluation frameworks, and human-in-the-loop escalation paths to ensure agentic actions operate safely within institutional boundaries.
- Empowers student team members to participate in stakeholder requirements gathering, rapid proof of concept (POC) builds, and pilot testing.
- Performs other duties as assigned.
Skillset
Qualifications
- Equivalent to a bachelor’s degree in a related field and four years of relevant experience.
- Additional experience which demonstrates acquired and successfully applied knowledge and abilities shown above may be substituted for the required education on a year-for-year basis.
- An advanced degree in a related field may be substituted for the required experience on a year-for-year basis.
Preferred Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, Information Systems, or a related technical discipline.
- Four (4) years of relevant experience, which includes 2 to 3 years of progressive, hands-on professional experience working with AI, developing software, scripting, API engineering, or systems integration
- Industry Certifications: Active industry certifications in AI or cloud engineering (e.g., Microsoft Certified: Azure AI Engineer Associate, Azure Fundamentals).
- Higher Ed & Student Leadership: Prior experience leading agile software sprint cycles within higher education IT or supervising student developer teams in an academic setting.
Knowledge, Skills, & Abilities
- Demonstrated ability to assess business requirements, evaluate AI-enabled technologies, and design cost-effective, scalable solutions while communicating technical recommendations, architectural trade-offs, and security considerations to technical and non-technical stakeholders.
- Hands-on experience designing, developing, testing, and deploying secure AI-powered solutions using enterprise platforms such as Azure AI Foundry and ServiceNow, including Python, REST APIs, and Model Context Protocol (MCP), with knowledge of AI security frameworks, risk mitigation, and enterprise integration standards.
- Demonstrated ability to mentor student developers, coordinate agile sprint activities, translate complex project requirements into actionable tasks, and provide technical guidance, code reviews, and quality assurance to ensure solutions meet institutional security, accessibility, and governance standards.
- Knowledge of emerging AI frameworks, agentic technologies, vector databases, and developer platforms, with the ability to research, evaluate, and recommend innovative solutions, collaborate across technical working groups, and contribute to IT planning and continuous technology improvement initiatives.
