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GenAI / Agentic AI Solution Architect

DCGIkona lokalizacjiPolska

Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano16 lutego 2026
Zarobki
ZarobkiDo uzgodnienia

As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for:

GenAI / Agentic AI Solution Architect

RESPONSIBILITIES:

  • Design end-to-end architectures for GenAI/LLM-based solutions across 100+ use cases
  • Review requirements & business architecture documents and translate them into actionable solution designs
  • Collaborate closely with TPMs and engineering teams to guide implementation, troubleshoot risks, and ensure alignment
  • Create scalable, repeatable solution patterns, allowing reuse of components across pods and industries. (E.g., reusable release management agents across SAP/Oracle/Guidewire.)
  • Balance speed over formality early on, while gradually contributing to future standardization across teams
  • Support multi-shipment planning, contributing to feasibility assessments (POC -> MVP)
  • Participate in an architecture guild/committee as standards mature

REQUIREMENTS:

  • 4-10 years experience in architecting or engineering AI powered systems: LLM-based applications, Retrieval augmented generation (RAG), Vector databases, Agentic workflows, Python-based AI stacks (LangChain, LangGraph, etc.)
  • Ability to design flexible and modular architectures, not monolithic products
  • Experience reviewing and validating multi-component solutions (data ingestion, ETL, AI layer, UI/UX where needed)

Nice to have:

  • Strong problem-solving mindset with ability to propose pragmatic solutions quickly
  • Comfortable working across time zones with U.S. architects and partners
  • Curious, collaborative, and willing to share learnings in a community-of-practice setting
  • Ability to support multiple pods simultaneously with consistent quality
  • High technical credibility and ability to challenge & guide developers

OFFER:

  • Private medical care
  • Co-financing for the sports card
  • Training & learning opportunities
  • Constant support of dedicated consultant
  • Employee referral program

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