AI Solutions Architect, Digital Technology Solutions

Job Description

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Job Title:

AI Solutions Architect, Digital Technology Solutions

Posting

Start Date:

4/27/26

Work Arrangement:
Hybrid

Current UC employees must apply internally via Success Factors

Next Lives at the University of Cincinnati

Founded in 1819, the University of Cincinnati ranks among the nation's best urban public research universities. Home to more than 53,600 students, 12,000 faculty and staff, and over 360,000 living alumni, UC, a Carnegie 1 institution, combines research prowess with a physical setting The New York Times has called "the most ambitious campus design program in the country." UC's momentum has never been stronger as the anchor of the Cincinnati Innovation District, the oldest cooperative education (co-op) program in the country with students earning $94 million annually through paid experiences, an academic health system, and as a member of the Big 12 Conference.

The university contributes $10.6 billion in economic impact to the city and $22.7 billion to the state of Ohio. At UC, next is all of us. Learn more .

UC is a mission-driven organization where we are committed to student success and positively transforming the community through scholarship and service. We thrive on innovation, making an impact, and fostering an environment where staff and faculty are key contributors to UC's success.

Job Overview

The University of Cincinnati is building a next-generation AI environment that blends academic excellence, research innovation, and enterprise transformation. This effort includes secure hybrid infrastructures, modern data platforms (Snowflake, Informatica), private LLM environments (Bearcat

GPT), and emerging agentic workflows. The AI Solutions Architect is at the forefront of this strategy, shaping how AI is designed, governed, and scaled across the institution. The AI Solutions Architect provides strategic and technical leadership for UC's AI ecosystem. This role defines enterprise AI architectures, governs LLM adoption, and ensures platform performance, security, and compliance. The Architect mentors Engineers and partners with faculty, researchers, and administrators to deliver scalable AI and generative applications that drive institutional impact.

Essential Functions

* Define and maintain enterprise AI reference architectures aligned with UC's mission.

* Lead design of hybrid HPC/LLM environments (Altair, Nebula One, Azure AI, AWS Bedrock).

* Establish standards for model lifecycle management, monitoring, availability, and compliance.

* Define governance and security frameworks for private LLM environments (e.g., Bearcat

GPT) and fine-tuned/custom GPTs.

* Evaluate, design, and integrate enterprise copilots and agent-powered platforms (Microsoft Copilot, Salesforce Agentforce, Service Now AI).

* Architect Snowflake Cortex use cases (predictive analytics, natural language query) and integrate with Informatica IDMC pipelines.

* Define institutional standards for agentic workflows (RAG pipelines, multi-agent orchestration, autonomous task execution).

* Collaborate with Info Sec to embed security, privacy, and responsible AI principles across generative AI deployments.

* Partner with faculty, researchers, and business leaders to scale AI use cases in teaching, learning, research, and enterprise administration.

* Mentor and manage AI Engineers, fostering a culture of innovation and collaboration.

* Optimize AI platform performance and cost, balancing innovation with sustainability.

Required Education

* Master's in Computer Science, Data/AI, or related discipline; or equivalent experience.

Required Experience

* 7+ years in systems architecture with 3+ in AI/ML.

* Expertise in cloud/hybrid infrastructures (Azure, AWS, NVIDIA, Altair).

* Hands-on experience with Snowflake (Snowpark, Cortex) and Informatica (CLAIRE, IDMC, EDC/DQ).

* Familiarity with generative AI ecosystems (OpenAI, Azure AI Studio, AWS Bedrock, Hugging Face).

* Proven ability to mentor technical teams.

* Strong grounding in governance, security, and MLOps.

Additional Qualifications Considered

* Experience managing or deploying private LLM environments (Bearcat

GPT or similar).

* Knowledge of privacy-preserving AI methods (federated learning, differential privacy).

* Familiarity with enterprise copilots and assistants (Copilot, Agentforce, Service Now AI).

* Ability to communicate technical strategies as institutional impact to diverse stakeholders.

Physical Requirements /Work Environment

* Office environment/no specific unusual physical or environmental demands.

Application Process Information

* All certifications and other documentation can be uploaded using the Additional Documents section in the application. Applications without a cover letter and CV/Resume will not be considered for the position.

Why Join Us?

* This role offers the opportunity to help position the University of Cincinnati as a leader in responsible, scalable AI in higher education-shaping how AI is applied across teaching, research, and enterprise operations.

Compensation and…