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Lead AI Solutions Architect, Customer Success

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Switzerland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead AI Solutions Architect, Customer Success (AI/Genesys Cloud): Designing and leading the implementation of AI-powered customer experience solutions across enterprise platforms, integrations, data systems, and customer programs with an accent on scalability, security, responsible AI, and operational readiness. Focus on defining virtual agents and copilots, guiding complex architecture decisions, and translating business requirements into precise production-ready designs.

Location: Zurich, Switzerland (flexible)

Company

hirify.global provides an AI-powered experience orchestration platform connecting people, systems, data, and AI for more than 8,000 organizations worldwide.

What you will do

  • Define end-to-end AI solution architectures for large customer programs and strategic deployments.
  • Design integrations between hirify.global Cloud, AI services, enterprise applications, data platforms, and third-party technologies.
  • Establish standards for scalability, resilience, security, maintainability, and operational readiness.
  • Lead architecture workshops, technical design sessions, and governance throughout delivery.
  • Design AI use cases including virtual agents, agent copilots, knowledge systems, workflow automation, and analytics solutions.
  • Advise enterprise architects and technical stakeholders, mentor consultants, and contribute to reusable architectures and presales activities.

Requirements

  • 7+ years of experience in solution architecture, technical consulting, or enterprise software delivery, including at least 3 years focused on AI or conversational/CX platforms.
  • Hands-on familiarity with hirify.global Cloud or comparable CCaaS/CPaaS platforms, including routing, digital channels, and developer APIs.
  • Production experience designing and deploying virtual agents, LLM-based copilots, knowledge management systems, or predictive analytics solutions.
  • Strong understanding of AWS, GCP, or Azure architecture patterns, REST/GraphQL APIs, event streaming, and identity and security protocols.
  • Experience leading design sessions, preparing technical documentation, and presenting to senior technical and non-technical stakeholders.
  • Familiarity with responsible AI, data governance, security-by-design, scope management, and customer relationship management in professional services environments.

Nice to have

  • Industry experience in telecommunications, financial services, or airlines.

Culture & Benefits

  • Work with AI-powered technology used by more than 8,000 organizations worldwide.
  • Flexible-first ways of working within a global team.
  • Mentorship, learning programs, leadership development, and education support.
  • Paid volunteer time, August Free Fridays, well-being resources, and regionally tailored employee and family programs.

Hiring process

  • Application review by Talent Acquisition and the hiring team.
  • Zoom interview followed by meetings with the hiring manager and interview team.
  • Usually no more than five interviews before final steps are communicated.

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