Enterprise AI Architect

Job not on LinkedIn

🕒 Yesterday

🏈 Alabama, Arizona, +30 more states – Remote

🏈 Alabama – Remote 🌵 Arizona – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🥔 Idaho – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🌾 Nebraska – Remote 🗻 New Hampshire – Remote 🌶️ New Mexico – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

💵 $137.8k - $220.6k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

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SNHU Careers

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1932

📚 Education

🤝 Non-profit

🎯 Recruiter

Education • Non-profit • Recruitment

SNHU Careers is the careers and hiring portal for Southern New Hampshire University, a nonprofit institution focused on transforming learners’ lives. The site promotes the university’s mission-driven culture, inclusive values, employee benefits (including remote work options and paid time off), and a wide range of job categories from academics and teaching to business operations, student support, marketing, and campus roles. It encourages talent community sign-ups and highlights professional development, diversity and equity initiatives, and flexible work arrangements.

📋 Description

• 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

🎯 Requirements

• 15+ years in information Technology • 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

🏖️ Benefits

• 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