Principal Architect, Agentic AI

TL;DR

Principal Architect, Agentic AI: Driving the architecture, design, and integration of AI-driven technologies that leverage AI agents to push the boundaries of what’s possible in tax automation, compliance, and business intelligence. Focus on optimizing performance, security, and scalability.

Location: Remote USA

Salary: $229,800.00 - $298,700.00

Company

hirify.global transforms AI capabilities and ensures the platform leads in the domain of indirect tax software solutions.

What you will do

• Lead the development and integration of AI Agents and Semantic Kernel to drive intelligent automation.
• Oversee the integration of AI Search into the hirify.global Cloud Platform to improve data discoverability and accuracy.
• Design and implement Agent-to-Agent Protocols that enable seamless collaboration between AI agents across multi-cloud environments (AWS + Azure).
• Oversee the integration of database server management solutions for centralized management and optimization of SQL and NOSQL Servers across hybrid environments.
• Develop and implement strategies for Snowflake and similar technologies, enabling hirify.global’s Copilot features.
• Ensure robust security for AI models and infrastructure, implementing strategies that ensure customer isolation in multi-tenant environments and secure access to sensitive data.

Requirements

• 15+ years of experience in software engineering.
• 10+ years of experience in cloud computing and related fields.
• Strong understanding of public cloud computing technologies primarily in AWS and Azure.
• Direct experience migrating, refactoring, and re-engineering complex enterprise applications from legacy platforms to public cloud.
• Development of complex network and security architectures.
• AWS or Azure Cloud Architecture, Engineering, DevOps, and/or Security certifications.
• Bachelor’s degree in computer science, engineering or closely related field is required or equivalent combination of education and/or experience. Master's degree is preferred.