Enterprise AI Architect

This is a fully remote position, open to applicants in Alabama, +31 more states.

📋 Description

• Define and enhance the enterprise AI architecture, standards, reference models, and implementation guidelines to ensure consistent solution delivery across various business functions.

• Align AI projects with enterprise strategies, roadmaps, and business priorities.

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

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

• Provide insights on how AI, ML, and automation can enhance current and future-state architectures.

• Lead the design and implementation of AI-powered solutions such as LLMs, agents, automation, and analytics.

• Integrate AI capabilities with enterprise applications and data platforms.

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

• Establish reusable patterns, APIs, and integration strategies.

• Develop governance practices that cover model oversight, responsible AI usage, security controls, compliance expectations, and lifecycle management.

• Implement AI governance, including responsible AI, security, privacy, and compliance with standards such as FERPA, HIPAA, and GDPR.

• Establish lifecycle management practices including MLOps/LLMOps, model monitoring, drift detection, and retraining.

• Implement frameworks for performance, bias, and risk monitoring.

• Ensure a secure AI architecture that includes data protection, isolation, and adversarial defense.

• Collaborate with business, product, data, and engineering teams to deliver AI solutions.

• Provide architectural guidance to architects and delivery teams.

• Facilitate workshops, POCs, demos, and AI adoption projects to identify viable opportunities where AI can serve as a positive differentiator.

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

⛳️ Requirements

• Over 15 years of experience in Information Technology.

• More than 8 years in enterprise or solution architecture.

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

• Experience in integrating AI solutions with enterprise platforms such as Salesforce, ServiceNow, Workday, D2L, and Banner.

• Familiarity with enterprise architecture frameworks like TOGAF and Zachman, as well as Agile delivery methods.

• Proficient in AI/ML frameworks (e.g., TensorFlow, PyTorch), LLMs, and agent-based architectures such as RAG, AutoGPT, and LangChain.

• Experience with cloud platforms including Azure, AWS, and GCP, as well as data/AI pipeline design.

• Knowledge of 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, and GCP.

• Familiarity with enterprise standards for principles, patterns, and guidelines regarding 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, in addition to nearly a dozen paid holidays.

• Employer-funded retirement plan.

• Free tuition program.

• Parental leave.

• Resources for mental health and wellbeing.