GenAI / Agentic AI Solution Architect

The Solution Architect designs AI-driven, LLM-based technical solutions across multiple pods. This role is responsible for interpreting business requirements, shaping the architectural approach, and ensuring that solutions follow emerging standards while moving quickly enough to support high-volume demand. Architects are currently the biggest bottleneck in the program, making this a mission-critical role.

What we offer:

• Big International project

• Full Remote

• Long Term B2B Contract

• Rate: 180-200 PLN/h +VAT

Core 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.

Key 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.

Other Details

This position involves working remotely and may require coordination across various teams and schedules. The nature of the work supports a dynamic and rapidly evolving environment, with a focus on integrating AI solutions across different sectors.