Principal AI Architect
Коротко о вакансии
Компания ASAPP, разрабатывающая AI-решения для клиентского опыта, ищет Principal AI Architect. Специалист будет выступать в роли технического советника для топ-менеджеров заказчиков (CTO, CIO), помогая им внедрять AI в обслуживание клиентов. В задачи входит проведение архитектурных обсуждений, воркшопов и стратегических встреч, а также тесное взаимодействие с внутренними командами Delivery, Research и Engineering. Кандидат должен иметь глубокий опыт в enterprise-технологиях и практические навыки работы с LLM и промпт-инжинирингом.
- Формат работы
- гибрид
- География
- Нью-Йорк, США; также офисы в Маунтин-Вью, Латинской Америке и Индии
- Зарплата
- 230 000 — 240 000 $ — по данным ASAPP
- Ключевые требования
- 10+ лет в enterprise-технологиях
- Опыт работы с LLM и промпт-инжинирингом
- Отличные навыки коммуникации с руководством
- Публичный опыт выступлений по AI
- Кому подойдёт
- Вакансия подойдёт опытному архитектору AI-решений, который хочет работать с крупными заказчиками и влиять на продуктовую стратегию.
Пересказ openqareer по тексту работодателя. Ниже — оригинал объявления.
At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. We are guided by principles that shape how we think, build, and execute, including deep customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in small, highly skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship.
We’re building a globally diverse team of technologists and problem solvers who thrive in fast-paced environments, value collaboration, and approach every challenge with a Day 1 mindset. With hubs in New York City, Mountain View, Latin America, and India. If you’re driven by continuous learning, rapid iteration, and the challenge of building in a high-growth startup, this is more than a role—it’s a journey.
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.
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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.
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Lead executive briefings, architecture discussions, and workshops alongside our account and solutions teams.
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Shape and qualify custom requests, favoring solutions that become reusable product capabilities, and partner with Product and Delivery before making commitments.
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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.
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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.
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Bring customer needs back to Product and Engineering as clear, prioritized input.
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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.
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Hands-on experience with LLMs, prompt engineering, and LLM application architecture; familiarity with conversational AI and speech.
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A track record of owning technical outcomes on complex enterprise programs.
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Excellent executive presence and communication, with the ability to explain technical ideas to both business and engineering audiences.
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Good judgment about scope, including the confidence to tell a customer "not yet."
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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.
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Experience in a field CTO, office-of-the-CTO, or principal architect role at an AI, cloud, or data platform company.
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Depth in one or more industries such as travel and hospitality, financial services, telecommunications, or insurance.
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