AI Integration and Solutions Engineer

The Role

Leading applied AI integration across instructional and operational workflows
Designing, building, and deploying AI-enabled solutions and agents using approved platforms
Maintaining a district portfolio of AI solutions
Vetting AI tools, features, and embedded capabilities
Evaluating AI capabilities within existing platforms
Advising on buy vs. build decisions
Embedding responsible AI practices
Supporting pilots, phased rollouts, and post-deployment feedback loops
Enabling organizational readiness through training, playbooks, example use cases
Monitoring how AI tools connect across YES Prep’s technology ecosystem
Serving as an escalation point for emergent AI issues
Maintaining clear documentation of solution designs
Collaborating with the Enterprise Systems Engineer and broader technology team

Must Haves

• Bachelor’s degree from an accredited four-year institution
• 2 years of hands-on experience building AI agents, LLM-based solutions or workflow automations
• Experience evaluating AI tools and embedded platform features
• Ability to integrate AI tools with enterprise platforms (M365, Google Workspace, SIS/LMS)
• Experience translating business or instructional needs into AI-enabled workflows
• Strong communication skills
• Ability to take initiative, plan projects, prepare materials
• Openness to giving and receiving frequent feedback
• Strong judgment related to responsible AI, data privacy, security, and change management

Beliefs

• Belief in and commitment to the mission and core values of YES Prep Public Schools
• Desire to disrupt systemic status quos in education
• Willingness to go above and beyond
• Passion to develop resiliency through a relentless pursuit of jaw-dropping results
• Conviction that high expectations + high accountability = high performance and high growth

Nice to Haves

• Post-graduate degree in educational technology, information systems, business, public administration
• Experience in K-12 education or a mission-driven nonprofit
• Familiarity with low-code/no-code platforms (Power Automate, Make, n8n)
• Background in enterprise systems, integration design, or solution design
• Relevant AI or automation certification