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September 5, 2026

AI Architect

Senior • On-site

Katowice, SL, Poland

Your role

In this role, you will serve as the technical authority and strategic advisor for AI solution architecture across a portfolio of high-priority use cases. You will bridge reusable AI platform services and production delivery, driving alignment, scalability, and cost efficiency at enterprise scale.

Your tasks

  • Embed with the client AI team to develop a thorough understanding of priority use cases, existing architecture, and technical approaches across multiple delivery partners.
  • Define and enforce standard AI architecture patterns across use cases, including model selection strategies, RAG pipeline design, chunking approaches, LLM orchestration frameworks, and multi-agent coordination.
  • Identify and eliminate duplicated components across teams, consolidating them into shared reusable services to reduce technical debt and improve delivery efficiency.
  • Design and implement observability, evaluation, and monitoring frameworks for production AI systems, covering latency, accuracy, hallucination tracking, and cost management.
  • Participate in PI Planning sessions and executive reviews; provide technical visibility and strategic recommendations to VP- and Director-level stakeholders; and upskill delivery partner teams on validated architectural patterns and best practices.

Your profile

  • 10+ years of solution architecture experience, including 3–5 years focused on AI/ML solutions.
  • Deep expertise in Generative AI architecture, RAG pipelines, agentic frameworks, and LLM orchestration.
  • Proven ability to design scalable, reusable AI architecture patterns across multiple use cases and teams.
  • Experience with chunking strategies, hybrid retrieval combining semantic and keyword search, and re-ranking techniques.
  • T-shaped technical expertise: depth in AI solution architecture and breadth across data architecture, integration patterns, and infrastructure.
  • Experience with enterprise platforms such as Databricks, SharePoint, and ERP systems.
  • Strong knowledge of observability and evaluation frameworks for production AI systems, including fit-for-purpose versus technical-debt decisions for platform and AI Foundry reusable services.
  • Experience advising multiple delivery partners in enterprise settings, communicating with executives, influencing without authority, and coaching junior and mid-level architects.

What You'll love about working here

  • Well-being benefits, including medical care with Medicover, private life insurance, a sports card, therapeutic support through the Helpline, and a wellbeing podcast.
  • Access to more than 70 training tracks and certification opportunities, including GenAI, Architect, and Google training, plus Education First, TED Talks, and Udemy Business learning materials.
  • Continuous feedback and ongoing performance discussions supported by a transparent performance-management policy.
  • Hybrid working after onboarding, combining a modern office with an ergonomic home-office package including a laptop, monitor, and chair.

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