AI Architect

Quick Facts

• Role: AI Architect (f/m/x)

• Focus: Client-facing AI solution architecture and delivery across generative and classical AI

• Reporting line: Head of AI

• Location/Work mode: Remote or hybrid, based anywhere in Poland

Description

Most AI initiatives fail to move from prototype to production. This role bridges that gap by designing technically sound AI solutions, estimating build effort, and staying involved until they ship. You will work across generative and classical AI pipelines and lead client conversations from discovery to proposal scoping.

Responsibilities

• Lead client-facing discovery sessions, technical workshops, and architecture presentations

• Translate business problems into well-defined AI solution specifications

• Review RFP/RFI documents, assess feasibility, and create technical proposals (architecture diagrams, timelines, team composition, cost breakdown)

• Scope and estimate AI projects end-to-end, including data readiness, infrastructure needs, cloud costs, and operational expenses

• Design end-to-end architectures for generative and classical AI systems (knowledge-grounded AI, agentic workflows, multi-model orchestration, hybrid search)

• Make and defend technology choices aligned to the problem (foundation models, vector databases, orchestration frameworks, inference infrastructure)

• Define MLOps/LLMOps practices and data pipelines (CI/CD for models and prompts, evaluation pipelines, chunking, embedding generation, drift monitoring)

• Run technical design reviews, write architecture decision records, and mentor engineers

Requirements

• 10+ years in software/data/ML engineering, including 3+ years in AI/ML architecture at scale

• Deep production-level experience with at least one major cloud platform: Azure, AWS, or GCP

• Experience in client-facing roles (comfortable leading workshops and presenting to C-level and engineering audiences)

• Ability to scope and budget AI projects, including cloud cost modeling, team sizing, and delivery planning

• Strong hands-on Python and practical AI/ML framework experience (e.g., LangChain, LangGraph, Semantic Kernel)

• Production experience building knowledge-grounded AI systems and agent architectures

• Solid understanding of transformer architectures (context windows, latency, cost)

• Fluent English and Polish (written and spoken)

• Must reside in Poland

Benefits

• AI Grant: dedicated budget and resources plus two paid weeks to build your AI idea into a working project

• AI Center of Excellence: collaboration with specialists in agentic AI, sovereign AI, and generative/discriminative AI

• Choice of tools: access to AI-powered development tools including Claude, Cursor, and GitHub Copilot

• Conference & speaking support: attendance backing, preparation time, and bonuses

• Project variety: generative AI, agentic manufacturing systems, enterprise AI platforms, computer vision, and autonomous driving