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Principal AI Solutions Architect, Customer Success
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal AI Solutions Architect, Customer Success (AI/Agentic AI): Designing and implementing AI-powered customer experience solutions for enterprise customers across EMEA with an accent on agentic systems, evaluation frameworks, and production integrations. Focus on architecting orchestration logic, building automated evaluation pipelines, integrating AI with enterprise platforms, and driving measurable customer outcomes.
Location: Germany; the role supports strategic customers across the EMEA region.
Company
provides an AI-powered experience orchestration platform connecting people, systems, data, and AI for enterprise customer and employee experiences.
What you will do
- Lead discovery and strategy alignment with enterprise customers, translating business KPIs into technical priorities and AI adoption plans.
- Define reference architectures, integration patterns, data flows, and redesigned customer experience processes.
- Build rapid proofs of concept and MVPs with Cloud AI Studio, CoPilot, Agentic Virtual Agent, and related products.
- Integrate AI solutions with CRM, ERP, and third-party systems using APIs, data pipelines, and cloud services.
- Design evaluation frameworks and automated pipelines for intent accuracy, retrieval groundedness, response relevance, goal completion, and policy adherence.
- Mentor customer, partner, and internal teams while codifying field learnings into reusable frameworks and accelerators.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related discipline; a master’s degree is preferred.
- 8–12 years of experience across AI implementation, CX/CCaaS consulting, or technical solution architecture, with measurable customer impact.
- Production experience building, evaluating, or operating LLM-powered agentic AI systems and enterprise CX, CRM, or AI orchestration platforms.
- Hands-on knowledge of APIs, data pipelines, REST, event-driven architecture, JSON, Python, SQL, and modern cloud environments such as AWS, Azure, or GCP.
- German and English fluency required. Other EMEA languages are advantageous.
- Experience with enterprise security, privacy, regulatory compliance, data governance, and responsible AI principles.
Nice to have
- Experience in financial services, healthcare, insurance, retail, or the public sector.
- Deep expertise with Cloud or equivalent platforms such as Google CCAI, Salesforce, AWS Connect, NICE CXone, Sierra, Decagon, or Cognigy.
- Master’s degree in a relevant discipline.
Culture & Benefits
- Work with AI technology used by more than 8,000 organizations worldwide.
- Flexible-first culture within a global organization of nearly 7,000 employees.
- 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.
- Most processes include no more than five interviews before final steps.
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