AI Architect

Southern New Hampshire University is a team of innovators. You will guide the business throughout the onboarding and implementation of our multiple AI solutions. You'll guide through the discovery, design, and hands‑on configuration of AI-powered features, ensuring that the maximum value from AI capabilities supports outcomes.You will also bridge the gap between Customer Success, Product, and Engineering teams, helping define how AI transforms collaboration at scale-across the SNHU's broader tech ecosystem.The AI Architect will orchestrate collaboration across business, data, application, and technology domains, using platforms such as Salesforce, Service Now, Workday, D2L, Banner, and O365. You will balance innovation with compliance, ensuring solutions are secure, ethical, and scalable, while delivering measurable business and student outcomes.You will work remotely from any of our approved states. #LI-RemoteWhat You’ll Do:Partner with business and technology partners to identify AI opportunities that support student success, operational efficiency, and digital business models.Align AI programs with enterprise strategies, roadmaps, and higher education best practices.Provide guidance on how AI, ML, and automation will improve current and future-state architectures.Define, design, and oversee AI architectures that integrate with core enterprise platforms (Salesforce, Service Now, Workday, D2L, Banner, O365).Collaborate with business architects, data architects, and developers to source, govern, and manage data for AI solutions.Lead evaluation, selection, and implementation of AI/ML models, frameworks, and platforms.Ensure architectures account for privacy, compliance (FERPA, HIPAA, GDPR), and security standards.Establish MLOps practices, including CI/CD for AI models, automated testing, validation, and deployment.Embed MCP (Model Control & Performance) practices: lifecycle management, retraining, drift detection, and decommissioning.Oversee deployment, monitoring, and lifecycle management of AI solutions.Contribute to enterprise AI governance frameworks, standards, and policies.Establish metrics and monitoring approaches to track AI model performance, bias, and risk.Implement adversarial AI defense and secure AI infrastructure (encryption-in-use, multi-tenant isolation).Ensure compliance with ethical AI practices, accessibility standards, and institutional values.Promote AI capabilities across the institution; facilitate workshops, proofs-of-concept, and demos.Provide consultative support to…

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