AI Architect

Job not on LinkedIn

🕒 May 5

🏈 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

• 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 platforms • Ability to translate institutional goals into AI solutions that deliver measurable outcomes • Deep understanding of AI/ML architectures, data pipelines, integration, and governance

🎯 Requirements

• 15+ years in the technology industry • 8+ years of experience in IT architecture • 3+ years in AI/ML solution design and delivery • Experience integrating AI solutions with enterprise platforms (e.g. Salesforce, ServiceNow, Workday, D2L, Banner, or equivalent) • Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch), cloud platforms (Azure, AWS, GCP), and big data technologies • Hands-on experience designing or implementing AI solutions, including working with LLMs, prompt engineering, and agent frameworks (e.g. AutoGPT, LangChain, RAG) • Experience with system integration, APIs, cloud services, and enterprise data management • Experience with enterprise architecture frameworks (TOGAF, Zachman) and agile delivery • Experience with ethical AI, bias mitigation, and explainability frameworks

🏖️ 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