AI Solutions Architect, Digital Technology Solutions

Job Overview

The University of Cincinnati is building a next-generation AI environment that blends academic excellence, research innovation, and enterprise transformation. The AI Solutions Architect will shape the strategy for AI design, governance, and scale across the institution. 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.

• 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 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.

• Master’s in Computer Science, Data/AI, or related discipline; or equivalent 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.

• 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.

• Office environment; no specific unusual physical or environmental demands.

• Competitive salary based on experience.
• Comprehensive health coverage (medical, dental, vision, prescription).
• Flexible spending accounts and wellness programs.
• Professional development and mentorship opportunities.
• Comprehensive tuition remission for you and eligible dependents.
• Robust retirement plans: choice between OPERS, STRS, or an Alternative Retirement Plan; UC contributes 14–18% of salary.
• Generous time‑off policy: vacation and sick time; 11 paid holidays; additional end‑of‑year paid time off; 6 weeks of paid parental leave.

The University of Cincinnati is an E‑Verify employer. The University is an equal opportunity employer and welcomes applications from individuals with disabilities and protected veterans. All qualified applicants will receive consideration for employment.