Principal AI Architect

Location: New York or Mountain View; hybrid workplace

Company

hirify.global provides an AI platform for enterprise customer experience, supported by Delivery, Research, Engineering, Product, and customer-facing technology teams.

What you will do

• Advise CTOs, CIOs, heads of CX technology, and enterprise architects at strategic customers and prospects.
• Define practical adoption paths for conversational and agentic AI on hirify.global's platform.
• Lead executive briefings, architecture discussions, and workshops with account and solutions teams.
• Qualify custom requests and favor reusable product capabilities in partnership with Product and Delivery.
• Complete an onboarding rotation through Delivery, Research, and Engineering, then embed regularly with those teams.
• Share platform guidance with Solution Engineers, bring prioritized customer input to Product and Engineering, and represent hirify.global through content, talks, and industry conversations.

Requirements

• 10+ years in enterprise technology, including 5+ years as a principal or lead architect, solutions leader, engineering director, or applied AI/ML lead.
• Hands-on experience with LLMs, prompt engineering, and LLM application architecture; familiarity with conversational AI and speech.
• Experience owning technical outcomes on complex enterprise programs.
• Excellent executive presence and communication skills for both business and engineering audiences.
• Sound judgment about scope, including the ability to tell a customer "not yet."
• A record of publishing or presenting on applied AI through posts, a blog, a YouTube channel, conference talks, or similar public channels.

Nice to have

• Contact center technology, CCaaS, or CX technology experience.
• Experience in a field CTO, office-of-the-CTO, or principal architect role at an AI, cloud, or data platform company.
• Depth in travel and hospitality, financial services, telecommunications, or insurance.

Culture & Benefits

• Hybrid work based in New York or Mountain View.
• Initial structured onboarding rotation across Delivery, Research, and Engineering.
• Ongoing collaboration with Delivery, Research, Engineering, Product, Solutions Engineering, and account teams.