Enterprise Architect II (AI)

Location: Remote, United States; candidates must be available during Eastern Time Zone business hours. The final interview round takes place onsite in Chattanooga, Tennessee.

Company

hirify.global is a healthcare insurance organization developing enterprise technology and AI capabilities.

What you will do

• Translate business requirements into scalable, governed AI solutions and enterprise architecture strategies.
• Shape the roadmap for Microsoft 365, Azure AI Foundry, and Power Platform capabilities.
• Define AI deployment standards, reusable design patterns, governance controls, security guardrails, and operational models.
• Design and guide implementation of GenAI solutions using large language models, agent-based architectures, orchestration frameworks, and enterprise integrations.
• Lead architecture and delivery reviews, transition planning, security management, and roadmap development.
• Build and maintain the architecture portfolio while collaborating with architecture, engineering, security, data, and business stakeholders.

Requirements

• Bachelor’s degree in Business, Computer Science, or equivalent technical experience.
• At least 5 years of experience as an individual contributor leading teams in application and integration, data, technology, or security architecture.
• Deep expertise in Azure, Microsoft 365, Azure AI Foundry, and Power Platform.
• Hands-on experience designing and implementing GenAI solutions with large language models, agent-based architectures, orchestration frameworks, and enterprise integrations.
• Experience with enterprise architecture, AI governance, security, privacy, operationalization, and scalable production-ready solutions.
• Visa sponsorship is not available.

Nice to have

• Experience with leading AI providers.
• Experience in healthcare or other regulated industries.

Culture & Benefits

• Remote work-from-home arrangement.
• Focus on responsible AI principles, including security, transparency, governance, and data privacy by default.
• Opportunity to influence enterprise-wide AI adoption and long-term platform strategy.