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3 дня назад

Agentic AI Architect (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland/Romania/Europe +1 еще
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
Agentic AI Architect (AI/Python): Defining and building enterprise agentic AI foundations, including agent orchestration, APIs, MCP integrations, data grounding, evaluation, observability, and AgentOps/LLMOps with an accent on security, privacy, resilience, auditability, and cost control. Focus on assessing and industrializing AI initiatives, making buy-versus-build decisions, and turning hands-on proofs of concept into reusable, governed capabilities for regulated environments.

Location: Bulgaria, Poland, or Romania. Work from the European Union region and a valid work permit are required.

Company

hirify.global is a global AI-first digital transformation and engineering partner delivering scalable products, platforms, data-driven solutions, and AI solutions across 16 countries.

What you will do

  • Define the target architecture for an enterprise agentic AI foundation, separating shared capabilities from data management and data delivery use cases.
  • Assess existing AI initiatives, platforms, and components for maturity, business value, reuse potential, scalability, cost, and control impact.
  • Evaluate agent orchestration, APIs, MCP, enterprise data access and grounding, evaluation, observability, AgentOps, and LLMOps options.
  • Design for security, privacy, resilience, performance, auditability, explainability, access control, human oversight, and cost management.
  • Build hands-on proofs of concept including agents, integrations, evaluation pipelines, tests, and non-functional requirements evidence.
  • Collaborate with data, technology, AI risk, and business stakeholders while transferring knowledge through walkthroughs, runbooks, and decision records.

Requirements

  • 7+ years of professional experience in software, data, or AI engineering, including recent work as a solution architect, AI architect, or lead engineer.
  • Hands-on experience designing and delivering LLM-based and agentic solutions beyond the prototype stage.
  • Strong Python skills and practical experience with agent orchestration, API and MCP tool integration, retrieval, and grounding on enterprise data.
  • Experience with AI evaluation, observability, lifecycle management, AgentOps, and LLMOps.
  • Knowledge of metadata, data quality, lineage, governance, pipelines, and data products, preferably in regulated environments.
  • Very good written and spoken English, work authorization in the EU, and the ability to work from the European Union region are required.

Culture & Benefits

  • Work with a team of nearly 1,000 experts in the Central and Eastern European region.
  • Collaborate with senior technical, business, data, and AI risk stakeholders.
  • Participate in weekly reviews, demos, and decision sessions.
  • Share knowledge through pairing, architecture and code walkthroughs, runbooks, and decision records.

Hiring process

  • CV review.
  • HR call, interview, and client interview.
  • Final decision.

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