AI Solutions Architect

## AI Solutions Architect Apply locations:
Colorado time type:
Full time posted on:
Posted 2 Days Agotime left to apply:
End Date:
July 26, 2026 (6 days left to apply) job requisition :
JR108763
** Engineering a world of possibilities
** The AI Solutions Architect drives the rapid development, integration, and scaling of AI-powered solutions that align with institutional goals and regulatory requirements. This role bridges the gap between university needs and technical capabilities, translating emerging AI technologies, including agentic AI, into secure, ethical, and user-centered tools that enhance academic, administrative, and operational outcomes.
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* PLEASE NOTE:

** This position is not eligible for visa sponsorship now, nor in the future.
Working closely with IT and business partners, the AI Solutions Architect ensures that AI initiatives are implemented responsibly, comply with Mine’s AI and data governance standards, and align with the university’s strategic direction. This is an individual contributor role with high visibility and impact, requiring both strategic vision and hands-on technical execution to create and maintain AI agents, perform system and data integrations, and validate outputs for accuracy and reliability.
This position is currently hybrid, and requires regular commuting to campus.
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* Primary Responsibilities:

**** AI Integration, Enablement & Governance
*** Embed AI tools into university systems and business processes to ensure successful adoption.
* Integrate Microsoft, Google, and other approved AI services into workflows.
* Support onboarding, training, and change management for responsible AI use.
* Ensure compliance with Mines data governance and AI policies.
* Contribute to AI governance frameworks, including model transparency and risk mitigation.
** AI Solutions & Strategy
*** Develops, deploys, and aligns AI solutions with institutional goals and long-term value.
* Identify and fast-track opportunities for AI-driven innovation that enhance academic programs, student experiences, and operational efficiency.
* Accelerate the full lifecycle of AI product development, from discovery and prototyping to deployment and iteration.
* Understand product roadmaps and assess features, technical feasibility, and overall institutional value.
* Translate complex AI concepts (e.g., large language models, prompt engineering, RAG, AIOps) into actionable product strategies.
* Develop and track key performance indicators (KPIs) and user feedback to measure the success and impact of AI initiatives.
** Stakeholder Collaboration & AI Literacy
*** Emphasizes cross-functional engagement and building AI fluency across the institution.
* Establish relationships and partner with academic, administrative, and IT stakeholders to implement requirements and align AI solutions with institutional goals.
* Serve as a liaison between technical teams and end users to ensure clear communication and shared understanding.
* Contribute to AI literacy initiatives by developing documentation, training resources, and awareness campaigns for faculty, staff, and students.
** Minimum Qualifications*
* * Bachelor's degree from a four-year college or university in computer science, data science, information systems, engineering, or related field. Individuals without a degree may be considered if they demonstrate possession of substantially the same knowledge level as found in a degree but have attained the advanced knowledge through a combination of work experience and intellectual instruction
* 3+ years of experience in one or more of the following areas:  + Product ownership in a technology-driven environment  + Artificial Intelligence (AI) architecture or implementation (Can include Machine Learning (ML) development or implementation)  + Business analysis or digital transformation  + Data analytics, data governance, or data strategy  + Technology enablement or IT project management
* Strong understanding of AI/ML concepts, including generative AI, prompt engineering, and model evaluation
* Ability to translate complex technical concepts into actionable strategies for diverse stakeholders
* Familiarity with cloud-based AI platforms (e.g.,…