Enterprise AI Architect

Southern New Hampshire University is a team of innovators. World changers. Individuals who believe in progress with purpose. Since 1932, our people-centered strategy has defined us — and helped us grow a team that now serves over 180,000 learners worldwide.

Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're ready to expand our reach. All we need is you.

Make an impact — from near or far

At SNHU, you'll have the option to work remotely in the following states: Alabama, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Mississippi, Missouri, Nebraska, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin and Wyoming.

We ask that our remote employees have access to a reliable internet connection and a dedicated, properly equipped workspace that is free of distractions. Employees must reside in, and work from, one of the above approved states.

The opportunity

The Enterprise AI Architect reports to the Vice President of Enterprise Architecture and serves as the technical and strategic lead for AI capabilities across the university's digital ecosystem. This role ensures AI solutions align to enterprise strategy, architecture standards, and business priorities while delivering secure, scalable, and ethical outcomes.

The architect partners across business, IT, and data domains to define and implement AI-enabled capabilities—including generative AI, machine learning, automation, and advanced analytics—integrated into core enterprise platforms (e.g., Salesforce, ServiceNow, Workday, D2L, Banner, O365).

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.

Key Relationships:

• Enterprise Architecture

• Application Development and Engineering

• Data & Analytics

• Cloud and Infrastructure

• Cybersecurity

• Product Management

• Enterprise Applications (Salesforce, Workday, Banner, D2L, ServiceNow, Microsoft 365)

• Integration and Platform Teams

• AI Engineering Team

You will work 100% remotely from any of our approved states. #LI-Remote

What You'll Do:

• Define and evolve enterprise AI architecture, standards, reference models and implementation guidelines to support consistent solution delivery across business functions.

• Align AI initiatives to enterprise strategies, roadmaps, and business priorities.

• Identify and prioritize AI opportunities that drive student success and operational efficiency.

• Design scalable AI platforms and solutions across data, application, and technology domains.

• Provide guidance on how AI, ML, and automation will improve current and future-state architectures.

• Lead design and implementation of AI-powered solutions (e.g., LLMs, agents, automation, and analytics).

• Integrate AI capabilities with enterprise applications and data platforms.

• Guide evaluation and selection of AI/ML models, frameworks, and vendors.

• Establish reusable patterns, APIs, and integration approaches.

• Establish governance practices covering model oversight, responsible AI usage, security controls, compliance expectations, and lifecycle management.

• Establish AI governance, including responsible AI, security, privacy, and compliance (FERPA, HIPAA, GDPR).

• Establish lifecycle management practices (MLOps/LLMOps, model monitoring, drift detection, retraining).

• Implement performance, bias, and risk monitoring frameworks.

• Ensure secure AI architecture (e.g., data protection, isolation, adversarial defense).

• Partner with business, product, data, and engineering teams to provide AI solutions.

• Provide architectural guidance to architects and delivery teams.

• Facilitate workshops, POCs, demos and AI adoption projects identifying viable opportunities where AI can be a positive differentiator.

• Mentor teams on AI best practices, patterns, and frameworks

What We're Looking For:

• 15+ years in information Technology. technology, including:

• 8+ years in enterprise or solution architecture.

• 3+ years in AI/ML solution design and delivery.

• Experience integrating AI solutions with enterprise platforms (e.g., Salesforce, ServiceNow, Workday, D2L, Banner).

• Experience with enterprise architecture frameworks (e.g., TOGAF, Zachman) and Agile delivery.

• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), LLMs, and agent-based architectures (e.g., RAG, AutoGPT, LangChain).

• Experience with Cloud platforms (Azure, AWS, GCP) and data/AI pipeline design.

• Experience with APIs, microservices, system integration, and enterprise data management.

• Experience with ML Ops/LLM Ops practices including CI/CD, monitoring, and deployment patterns across (Azure, AWS, GCP).

• Experience with enterprise standards for principles, patterns and guidelines on the use of AI within the SNHU environment. Inclusive of alignment with Responsible AI standards and Sustainability goals.

We believe real innovation comes from inclusion - where different experiences, perspectives and talents are celebrated. So if you're wondering whether SNHU is right for you, take the leap and apply. You might be just the person we're looking for.

If you have a disability and require a reasonable accommodation to fully engage in any part of the application or hiring process, please complete the Accommodation Request form or contact us at 603-626-9447. A member from the Employee Accommodation Support Center will be in contact with you within two business days to discuss your request.

Compensation

Exceptional benefits (because you’re exceptional)

You’re the whole package. Your benefits should be, too. As a full-time employee at SNHU, you’ll get:

• High-quality, low-deductible medical insurance

• Low to no-cost dental and vision plans

• 5 weeks of paid time off (plus almost a dozen paid holidays)

• Employer-funded retirement

• Free tuition program

• Parental leave

• Mental health and wellbeing resources