Senior AI Solutions Engineer

Senior AI Solutions Engineer Job Title Senior AI Solutions Engineer Department IT Project Management Worker Type Regular Pay Type Salary Position Salary Minimum $100,000 Position Salary Maximum $120,000 Salary will be commensurate with the level of the position, education, and experience. Scheduled Weekly Hours 40 Benefit Eligible Yes Screening Date 2026-11-02 Job Description Summary The Senior AI Solutions Engineer advances the practical, responsible adoption of artificial intelligence across Miami University by connecting institutional needs with shared AI services, technical teams, and implementation partners. This role combines hands-on technical fluency with consultation, solution delivery, and relationship building. You will help design and operate shared AI capabilities, guide academic and administrative units from ideas through pilots and sustainable solutions, and establish repeatable technical and operational patterns that allow AI services to scale securely and effectively. Working across organizational boundaries, you will coordinate with security, architecture, infrastructure, service owners, academic partners, and institutional AI groups while exercising significant independent judgment in a rapidly changing environment. The position contributes implementation expertise to institutional AI governance but is primarily accountable for delivering usable services, enabling partners, and turning emerging AI capabilities into practical outcomes. Job Description Duties - Lead the design, implementation, rollout, and continuous improvement of shared University AI services within the perspective and purview of the Information Technology Services Division, including managed access to enterprise generative AI platforms, service gateways, account and domain administration, and related operating practices. - Serve as a consultative point of entry for academic and administrative units exploring AI-enabled solutions; clarify needs, assess feasibility, value, risk, and supportability, and recommend practical paths forward. - Prototype, configure, and integrate AI-enabled solutions when appropriate, and coordinate with technical teams and vendors to move promising pilots toward stable, supportable services. - Partner with units responsible for information security, legal, procurement, accessibility, architecture, data governance, and service owners to translate institutional requirements into practical technical and operational controls. - Develop reusable processes, service definitions, intake processes, financial/chrage-back models, documentation, and guardrails for common AI use cases. - Build and maintain awareness of significant AI initiatives across University divisions; connect teams, and encourage consistent approaches. - Collaborate with the University AI Center of Excellence, AI fellows, IT leaders, and other campus partners to support coordinated adoption and help build communities of practice for people applying AI in their work. - Create the framework to evaluate emerging AI technologies, and apply that framework to models, platforms, and vendors; communicate capabilities, limitations, tradeoffs, and recommendations to technical and non-technical audiences. - Establish and monitor measures for service adoption, reliability, support needs, and outcomes, and use those measures to improve AI services and consulting practices. - Contribute implementation experience and technical perspective to institutional AI