AI Architect

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🕒 vor 1 Monat

🏈 Alabama, Arizona, +30 weitere Bundesländer – 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

💵 $137.839 - $220.582 / Jahr

⏰ Vollzeit

🟠 Senior

🔴 Experte

🤖 KI-Ingenieur

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SNHU Careers

WebsiteLinkedInAlle Stellen

10.000+ Mitarbeiter

Gegründet 1932

📚 Bildung

🤝 Non-Profit

🎯 Rekrutierung

Education • Non-profit • Recruitment

SNHU Careers ist das Karriere- und Einstellungsportal der Southern New Hampshire University, einer gemeinnützigen Einrichtung, die sich auf die Transformation des Lebens von Lernenden konzentriert. Die Website fördert die missionsgetriebene Kultur der Universität, inklusive Werte, Mitarbeitervorteile (einschließlich Remote-Arbeitsmöglichkeiten und bezahlter Freizeit) und ein breites Spektrum an Jobkategorien von Akademikern und Lehre über Geschäftsprozesse, Unterstützung von Studenten, Marketing bis hin zu Campus-Rollen. Sie ermutigt zur Anmeldung in der Talent-Community und hebt die berufliche Entwicklung, Initiativen zur Diversität und Gleichheit sowie flexible Arbeitsregelungen hervor.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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