AI Architect – GenAI & Cloud (f/m/x)

Technologies we use

About the project

Your responsibilities

• Lead client-facing engagements — discovery sessions, technical workshops, architecture presentations — and translate business problems into well-defined AI solution specifications
• Analyze RFP/RFI documents, assess feasibility, and build technical proposals including architecture diagrams, delivery timelines, team composition, and cost breakdowns
• Scope and estimate AI projects end-to-end — from data readiness and infrastructure needs through cloud costs and ongoing operational expenses
• Design end-to-end architectures for generative and classical AI systems: knowledge-grounded AI, agentic workflows, multi-model orchestration, and hybrid search solutions
• Make and defend technology choices — foundation models, vector databases, orchestration frameworks, inference infrastructure — matching each to the problem, not the hype
• Define MLOps/LLMOps practices and data pipelines: CI/CD for models and prompts, evaluation pipelines, chunking strategies, embedding generation, and drift monitoring
• Lead technical design reviews, produce architecture decision records, and mentor engineers on AI engineering best practices

Our requirements

• At least 10 years in software/data/ML engineering, with at least 3 years focused on AI/ML architecture at scale
• Deep, production-level fluency in at least one major cloud AI ecosystem: Azure, AWS, or GCP
• Experience in client-facing roles — comfortable leading technical workshops and presenting to both C-level and engineering audiences
• Ability to scope and budget AI projects, including cloud cost modeling, team sizing, and delivery planning
• Strong hands-on skills in Python and practical experience with AI/ML frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent
• Practical experience building knowledge-grounded AI systems and agent architectures in production — not just prototypes
• Solid understanding of transformer architectures and how they affect system design decisions (context windows, latency, cost)
• Fluent English (both written and spoken)
• Fluent Polish required
• Residing in Poland required

Optional

• Experience fine-tuning LLMs (LoRA, QLoRA, RLHF/DPO) and understanding when fine-tuning is worth the investment vs. in-context learning
• Background in consulting, system integration, or services delivery with exposure to enterprise procurement processes
• Contributions to open-source AI/ML projects or published technical writing
• Experience with graph databases for knowledge graph-augmented search and reasoning
• Background in classical ML — because not every problem needs an LLM

What we offer

• Great Place to Work since 2015 - it’s thanks to feedback from our workers that we get this special title and constantly implement new ideas
• Employment stability - revenue of PLN 2.1BN, no debts, since 2006 on the market
• We share the profit with Workers - over PLN 76M has already been allocated for this aim since 2022
• Attractive benefits package - private healthcare, benefits cafeteria platform, car discounts and more
• Comfortable workplace – class A offices or remote work
• Dozens of fascinating projects for prestigious brands from all over the world – you can change them thanks to Job Changer application
• PLN 1 000 000 per year for your ideas - with this amount, we support the passions and voluntary actions of our workers
• Investment in your growth – meetups, webinars, training platform and technology blog – you choose
• Fantastic atmosphere created by all Sii Power People