AI Architect

Southern New Hampshire University is a team of innovators. In this role, you will be a business and expert who guides the design, implementation, and governance of AI-powered solutions across the university's digital ecosystem. You will guide the business throughout the onboarding and implementation of our multiple AI solutions. You will balance innovation with compliance, ensuring solutions are secure, ethical, and scalable, while delivering measurable business and student outcomes. What 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, ServiceNow, 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 enterprise architects, application teams, and business leaders.Mentor technical teams on AI patterns, frameworks, and best practices.Enable multi-agent orchestration frameworks (LangChain, AutoGPT, RAG) and ensure agent interoperability across platformsAbility to translate institutional goals into AI solutions that deliver measurable outcomes.Deep understanding of AI/ML architectures, data pipelines, integration, and governance.Behavioral: Strong leadership, collaboration, and consultative skills with the ability to influence at all levels.Personal: Technology-neutral mindset, intellectual curiosity, adaptability, and integrity.

Create an account to see the full posting, access our search engine, and more.