AI Solutions Architect

The AI Solutions Architect serves as a critical link between the FAS community and the rapidly evolving landscape of AI capabilities. The Architect leads opportunity discovery, problem definition, stakeholder alignment, and overall solution architecture. Working as a paired team, both the Architect and AI Solutions Engineer contribute hands-on from prototype through product delivery. The Architect contributes to implementation, testing, demonstrations, and production transition; the Engineer holds primary responsibility for detailed engineering, deployment, reliability, and operational readiness. The Architect ensures a clear path to secure, sustainable support.
Job-specific Responsibilities:
Engage faculty, researchers, and staff across FAS to identify and frame AI opportunities and define intended outcomes.
Lead requirements and tool selection, and design solutions per established patterns and University data, security, and privacy policy.
Scope problem statements and lead rapid prototyping (AI platforms, APIs, low-code/no-code), partnering with the Engineer to put working software in front of stakeholders early.
Assess sustainability - including cost, security, maintenance, service-owner capacity - and define readiness and acceptance criteria..
Own the governance relationship (security, privacy, accessibility, data-governance, research computing) and secure the approvals that turn prototypes into supported services.
Communicate across all levels of technical fluency and lead stakeholder alignment throughout delivery.
Document architectures, decisions, and trade-offs so others can maintain and extend the work.
Track the evolving AI landscape and lead evidence-based recommendations on readiness, capability, risk, cost, and fit.
Contribute hands-on to implementation, testing, demos, and production transition, with the Engineer primary on detailed engineering and operations.
Partner with HUIT's AI Innovation team to evaluate emerging capabilities and lead user-value prototyping.
Basic Qualifications:
Basic Qualifications are the minimum threshold a candidate must meet in order to be considered for this role.
Minimum of seven years’ post-secondary education or relevant work experience
Additional Qualifications and Skills:
The following qualifications are strongly preferred. If you meet some, but not all, you are still encouraged to apply; we value employees with a willingness to learn.
5+ years of experience in software development or solutions architecture
2+ years of hands-on experience with AI/ML platforms, LLMs, or applied AI tooling
Proficiency with AI/ML frameworks and APIs, including LLM integration, retrieval/grounding, prompt design, and evaluation
Experience rapidly prototyping with low-code/no-code and full-stack tools
Strong communication across technical and non-technical audiences
Systems thinking focused on privacy, integration, and maintainability
Strong analytical reasoning and systems thinking
Excellent writing and communication skills, including synthesizing complex, technical information for both technical and executive audiences
Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience

Employment type
Full-time

Work arrangement
Hybrid