AI Solution Architect

Technologies we use

About the project

Your 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 teams 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.

Our requirements

• Experience in designing AI-powered solutions, including LLM applications, RAG, vector databases, agent workflows, and Python AI frameworks (e.g., LangChain, LangGraph).
• 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).

What we offer

• We focus on long-term relationships based on fair principles and reliability.
• Co-financing of the Multisport card and Medicover private healthcare.
• Modern office available.
• Team bonding activities, internal courses, conferences, certifications.

Benefits