AI Solutions Engineer

About the role

The AI Solutions Engineer builds and supports AI-powered applications, agents, and integrations that serve teaching, learning, and College operations. The emphasis of this role is agentic: designing and building systems that plan, call tools, and carry multi-step work through to completion with appropriate human oversight, rather than systems that simply answer questions. The Engineer works closely with the Principal AI Solutions Engineer, who sets architectural direction and owns technical strategy, and partners with the Director for Applied Artificial Intelligence and Emerging Technologies to translate faculty ideas into working systems. It is an individual contributor role with no supervisory responsibility, expected to grow toward greater architectural ownership over time.

Responsibilities

• Build, test, and deploy AI agents that plan, select and call tools, and complete multi-step tasks, with human-in-the-loop checkpoints where judgment or risk requires them.
• Implement the tool and function interfaces that let agents act on College systems safely, using modern APIs and middleware.
• Design agent workflows that degrade gracefully: bounded scope, clear permissions, sensible retries, and a defined fallback when a task cannot be completed.
• Develop point solutions, applications, and integrations using agent frameworks such as the Claude Agent SDK and Google ADK.
• Translate requirements into working software quickly, favoring small releases over long build cycles.
• Build evaluation sets and test harnesses so agent behavior is measured rather than assumed, and regressions surface before users do.
• Implement guardrails, permission scoping, and logging so that agent actions are auditable and failures are contained.
• Monitor deployed agents for cost, latency, error rates, and behavioral drift, and tune accordingly.
• Support and maintain existing applications and agents in production.
• Work closely with the Principal AI Solutions Engineer, following architectural direction and contributing to design and technical review.
• Partner with the Director for Applied Artificial Intelligence and Emerging Technologies on faculty-facing work and on the AI Exploration Lab.
• Coordinate with colleagues in Enterprise Systems, Data Architecture, and Information Security so solutions are integrated, secure, and supportable.
• Gather requirements from staff and faculty stakeholders and translate them into technical tasks and realistic estimates.
• Maintain clear documentation of what each agent does, what it is permitted to touch, and how to operate it.
• Other duties as assigned.

Qualifications

• Bachelor's degree in computer science, artificial intelligence, or a related field, or equivalent professional experience.
• Two or more years of software or AI engineering experience, including hands-on work building and deploying applications powered by large language models.
• Demonstrated experience building agentic systems: tool and function calling, multi-step workflows, and orchestration across services.
• Working proficiency with agent development frameworks such as the Claude Agent SDK or Google ADK.
• Solid engineering fundamentals: version control, automated testing, CI/CD, and deployment to a cloud platform such as AWS, GCP, or Firebase.
• Experience integrating with APIs and enterprise platforms.
• Ability to explain technical choices clearly to colleagues who are not engineers.
• Familiarity with evaluation and guardrail practices for AI systems, and experience in higher education, are both preferred.

Pay

The salary range for the AI Solutions Engineer position is $114,000‑$121,000, commensurate with education, experience, and qualifications.

Schedule

Weekly Hours: 40
Annual Work Schedule: 12 month