Associate Distinguished Engineer – Enterprise Architect, Azure AI
Job Description:
• Architect the AI Landing Zone, including Azure OpenAI, Azure AI Foundry, Power Platform, Microsoft Fabric, and Microsoft Copilot services.
• Ensure the platform is secure, compliant, and designed to scale across academic, administrative, research, and healthcare environments.
• Define and enforce governance, identity/SSO integration, and infrastructure requirements.
• Implement architectural controls to support FERPA, accessibility (WCAG/508), privacy, and institutional policy requirements.
• Design integration patterns with core client systems (SIS, LMS, SSO, APIs, data sources).
• Collaborate with the Data/Technology Lead to define secure data pipelines, connectors, and access patterns.
• Evaluate technology options (Azure OpenAI, Copilot, Power Platform, Fabric) for each use case.
• Establish CI/CD pipelines, monitoring dashboards, cost transparency mechanisms, and lifecycle management processes.
• Review prototypes, solution designs, integrations, and deployments for technical completeness and architectural alignment.
• Collaborate closely with the Functional Consultant and project manager for technical sequencing and risk mitigation.
Requirements:
• Expertise in cloud/enterprise architecture, preferably across Azure AI services.
• Strong understanding of identity, security, compliance frameworks, and data governance.
• Experience designing scalable AI or cloud platforms and integrating enterprise systems.
• Ability to evaluate technical feasibility, optimize performance, and implement MLOps/CI-CD.
• Strong communication skills for translating complex technical concepts to non-technical stakeholders.
• Good to have skills: AI Application Solution Design (Strong), Metasonic, Microsoft Azure Artificial Intelligence and Machine Learning (Expert), Microsoft Fabric (Expert).
Benefits:
• Health insurance
• Retirement plans
• Flexible work arrangements
• Professional development
• Bonuses
Apply Now
Apply Now
• Architect the AI Landing Zone, including Azure OpenAI, Azure AI Foundry, Power Platform, Microsoft Fabric, and Microsoft Copilot services.
• Ensure the platform is secure, compliant, and designed to scale across academic, administrative, research, and healthcare environments.
• Define and enforce governance, identity/SSO integration, and infrastructure requirements.
• Implement architectural controls to support FERPA, accessibility (WCAG/508), privacy, and institutional policy requirements.
• Design integration patterns with core client systems (SIS, LMS, SSO, APIs, data sources).
• Collaborate with the Data/Technology Lead to define secure data pipelines, connectors, and access patterns.
• Evaluate technology options (Azure OpenAI, Copilot, Power Platform, Fabric) for each use case.
• Establish CI/CD pipelines, monitoring dashboards, cost transparency mechanisms, and lifecycle management processes.
• Review prototypes, solution designs, integrations, and deployments for technical completeness and architectural alignment.
• Collaborate closely with the Functional Consultant and project manager for technical sequencing and risk mitigation.
Requirements:
• Expertise in cloud/enterprise architecture, preferably across Azure AI services.
• Strong understanding of identity, security, compliance frameworks, and data governance.
• Experience designing scalable AI or cloud platforms and integrating enterprise systems.
• Ability to evaluate technical feasibility, optimize performance, and implement MLOps/CI-CD.
• Strong communication skills for translating complex technical concepts to non-technical stakeholders.
• Good to have skills: AI Application Solution Design (Strong), Metasonic, Microsoft Azure Artificial Intelligence and Machine Learning (Expert), Microsoft Fabric (Expert).
Benefits:
• Health insurance
• Retirement plans
• Flexible work arrangements
• Professional development
• Bonuses
Apply Now
Apply Now