Enterprise Architect (AI)

Location: Austin, TX or Miami, FL, United States; remote candidates may be considered where appropriate. Occasional travel up to 25% is required, including visits to data center sites.

Company

hirify.global provides high-performance computing infrastructure for AI, HPC, and digital asset mining across data center campuses in North America.

What you will do

• Investigate enterprise systems and validate that digital workflows reflect operational, financial, and revenue-generating reality.
• Map control surfaces across ERP, CRM, data pipelines, APIs, automation frameworks, and integrations.
• Analyze reconciliation logic, privilege creep, access-model drift, override frequency, and structural permission risks.
• Examine automation layers for hidden control failures, redundant workflows, and process friction.
• Redesign and reinforce enterprise control frameworks while improving traceability, documentation, and institutional memory.
• Translate technical findings into executive-level analysis and partner with engineering and operations leaders to eliminate structural inefficiencies.

Requirements

• Senior technical experience building, diagnosing, or hardening enterprise systems under pressure.
• Systems thinking focused on control surfaces, operational debt, system drift, and engineered durability.
• Technical literacy across enterprise applications, APIs, integration layers, automation frameworks, and permission hierarchies.
• Ability to query structured data using SQL or similar tools and write lightweight scripts in Python or comparable languages.
• AI proficiency is foundational, including repeatable AI-assisted workflows for data extraction, anomaly detection, hypothesis testing, and structured reporting.
• Ability to communicate technical findings to executives and operate without formal signature authority.

Culture & Benefits

• Entrepreneurial, collaborative, and results-driven working environment.
• Direct reporting to the Chief Technology Officer with executive-level visibility.
• Work across engineering, data, finance, and operations.
• Full-time schedule generally Monday through Friday, 8:00 a.m. to 5:00 p.m.; occasional nights and weekends may be required.
• Professional office environment with travel to operational data center locations.