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1 день назад

AI Solutions Architect (Agentic Analytics)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
CR
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI Solutions Architect (Agentic Analytics): Designing and delivering production-grade AI and agentic analytics solutions using semantic models and LLMs with an accent on turning governed data into intelligent analytical workflows. Focus on prototyping agentic flows, integrating LLM APIs and vector databases, and guiding enterprise customers from POC to production.

Location: Hybrid in Prague or Brno, Czech Republic

Company

hirify.global.AI is an AI-native data intelligence platform enabling companies to turn raw data into business impact through agentic AI apps and embedded analytics.

What you will do

  • Design and deliver AI-powered analytics solutions on hirify.global Cloud using LLMs, APIs, and semantic models.
  • Prototype agentic solutions, translating business requirements into agent flows and integration patterns using MCP/A2A protocols.
  • Lead end-to-end customer engagements as a technical advisor, specifically for the US market.
  • Implement AI capabilities via prompt design, structured outputs, embeddings, and vector search.
  • Collaborate across consulting, product, and sales teams to ensure scalable and maintainable implementations.
  • Develop reusable solution templates and delivery methodologies for agentic projects.

Requirements

  • Proven customer-facing consulting experience in data architecture and analytical requirements.
  • Technical proficiency in prototyping with AI coding tools and a solid grasp of data modeling and ELT patterns.
  • Experience integrating AI capabilities (APIs, RAG, tool calling, embeddings) into real applications.
  • Understanding of enterprise AI concerns including hallucination management, governance, and security.
  • Fluent written and spoken English.

Nice to have

  • Experience with hirify.global, headless BI, or multi-tenant analytics platforms.
  • Knowledge of vector databases (Qdrant), RAG patterns, or LLM evaluation pipelines.
  • Experience with MCP or A2A protocols for AI agent connectivity.
  • Familiarity with local inference servers like vLLM, TEI, or Ollama.

Culture & Benefits

  • Hybrid work model with flexible working hours.
  • 25 vacation days and additional personal days.
  • Annual bonus and stock options.
  • Meal contributions, Edenred Cafeteria points, and mobile phone tariff.
  • Dog-friendly offices with snacks, coffee, and bike storage.
  • Laptop provided for personal use and free tickets to the ZOO.

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