À propos de ce poste Principal AI Architect chez Asapp
We are seeking a Principal AI Architect to be the senior technical voice our enterprise customers turn to as they plan how AI fits into their customer experience. You will spend most of your time with customer technology leaders, helping them shape a practical, forward-looking path on ASAPP's platform. The rest of your time you'll spend inside our Delivery, Research, and Engineering teams, staying close to what we're building and what's working in production, and sharing that knowledge with our Customer-facing technology teams.
What You'll Do
Serve as a trusted technical advisor to CTOs, CIOs, heads of CX technology, and enterprise architects at strategic prospects and customers.
Bring a clear point of view on where conversational and agentic AI is heading, and help customers decide what to adopt now, what to plan for, and what to skip.
Lead executive briefings, architecture discussions, and workshops alongside our account and solutions teams.
Shape and qualify custom requests, favoring solutions that become reusable product capabilities, and partner with Product and Delivery before making commitments.
Start with a structured onboarding rotation through our Delivery, Research, and Engineering teams, so you build hands-on knowledge of our platform and how we deploy it before taking on full account coverage.
Embed regularly with Delivery, Research, and Engineering, and turn what you learn into concise guidance that helps our Solution Engineers, and related technical field teams.
Bring customer needs back to Product and Engineering as clear, prioritized input.
Represent ASAPP externally through content, talks, and industry conversations.
What You'll Bring
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.
A track record of owning technical outcomes on complex enterprise programs.
Excellent executive presence and communication, with the ability to explain technical ideas to both business and engineering audiences.
Good judgment about scope, including the confidence to tell a customer "not yet."
A track record of publishing or presenting on applied AI, such as LinkedIn posts, a blog, a YouTube channel, or conference talks. A large following isn't required, but we're looking for someone who already shares what they learn publicly.
Nice To Have
Contact center tech, 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 one or more industries such as travel and hospitality, financial services, telecommunications, or insurance.
