Senior AI Solutions Engineer

miamioh; Miami (FL); On-site; GBP 75,000 - 90,000; Full time

Benefits offered by this job

Benefit eligible

Job summary

Miami University seeks a Senior AI Solutions Engineer to advance practical, responsible AI adoption across the university by aligning institutional needs with shared AI services, technical teams, and implementation partners.

This role blends hands-on technical fluency with consultation, solution delivery, and stakeholder relationship management to design and operate AI capabilities that scale securely and effectively. You will lead pilots from idea to sustainable services across multiple units.

Qualifications

• Bachelor's degree by date of hire and 6+ years of related professional technical experience.
• Relevant Master's degree by date of hire AND 4+ years of related professional technical experience.
• Experience may come from roles such as senior business analyst, technical lead, solutions architect, or similar positions.

Responsibilities

• Lead the design, implementation, rollout, and continuous improvement of shared University AI services within the Information Technology Services Division.
• 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 pilots toward stable 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/charge-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.

Skills

Generative AI concepts & APIs

APIs & integrations

Identity & access management

Security & privacy considerations

Stakeholder collaboration

Education

Bachelor's degree

Master's degree

Job description

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 governance efforts and help translate approved guidance into workable service and technology practices.
• Develop and maintain business cases, including detailed financial evaluations, of proposed solutions.

Minimum Qualifications

• Bachelor's degree by date of hire and 6+ years of related professional technical experience.
• Relevant Master's degree by date of hire AND 4+ years of related professional technical experience.

Experience may come from roles such as senior business analyst, technical lead, solutions architect, or similar positions.

Knowledge, Skills, and Abilities (KSAs)

• Ability to rapidly learn, evaluate, and apply emerging artificial intelligence technologies in a practical enterprise environment.
• Ability to build credibility, partnerships, and alignment across organizational boundaries without relying on formal authority.
• Ability to translate ambiguous business, academic, or operational needs into clear technical options and supportable solutions.
• Ability to move cross-functional initiatives from idea through pilot and enterprise implementation with a high degree of independence and sound judgment.
• Working knowledge of generative AI concepts, large language models, APIs and integrations, identity and access management, data handling, and common security and privacy considerations.
• Ability to communicate AI capabilities, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences.
• Ability to balance innovation and speed with security, privacy, accessibility, reliability, maintainability,