AI Architect – GenAI & Cloud (f/m/x)

Technologies we use

Expected

• Python
• LLM
• LangChain/LangGraph
• Cloud Computing

Optional

• AWS
• GCP
• Microsoft Azure
• Model Fine-Tuning

About the project

Most AI initiatives stall somewhere between a promising prototype and a system that actually runs in production. We need an architect who closes that gap — someone who can look at a client’s problem, design a solution that makes technical sense, estimate what it will take to build, and then stay involved long enough to make sure it ships.

You’ll work across both generative and classical AI pipelines — knowledge-grounded AI systems, agent frameworks, model serving, and data infrastructure on the GenAI side, alongside prediction, recommendation, and optimization models where they’re the right tool for the job. You’ll also be client-facing: leading technical conversations, pulling apart RFPs, scoping projects, and being honest about what’s feasible and what isn’t. This role requires deep fluency in at least one major cloud platform (Azure, AWS, or GCP) and the judgment to know when a simpler solution is the better one.

You will report directly to the Head of AI. Expect a roughly 50/50 split between hands-on technical leadership on active projects and preparing new engagements — scoping, estimating, and shaping proposals.

This is how we organize our work

This is how we work

• you have influence on the technological solutions applied
• you have influence on the product
• you focus on product development
• agile

Team members

• backend developer
• technical leader
• architect
• devOps
• data scientist

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

This is how we work on a project

• code review
• Continuous Integration
• DevOps
• documentation

Development opportunities we offer

• mentoring
• substantive support from technological leaders

Recruitment stages

• Send your CV
• Talk to us about your expectations
• Learn more about our projects and choose the best
• Start your adventure with Sii!

What we offer:

• AI Grant — Stop talking about AI and start building it. Our AI Grant gives you dedicated budget and resources to turn your wildest AI idea into a working project, backed by two paid weeks to focus on nothing else.
• AI Center of Excellence — Work alongside specialists in agentic AI, sovereign AI, generative and discriminative AI. This isn’t a siloed team — it’s the people you’ll learn from and build with daily.
• Your tools, your choice — Full access to AI-powered development tools including Claude, Cursor, and GitHub Copilot. Pick what works best for you.
• Real project variety — From generative AI for legal document compliance through agentic systems in manufacturing environments to enterprise-scale AI platforms, computer vision, and autonomous driving. You won’t get bored.
• Conference and speaking support — Want to attend conferences? We’ll back you. Want to speak at them? Even better — we’ll support you with dedicated preparation time and bonuses.

Sii Sp. z o.o.

Sii is the leading technology consulting, digital transformation, engineering, and business services vendor in Poland. We already employ more than 7 300 professionals and implement projects in a variety of industries for clients from many countries around the world. The Great Place to Work title, won 10 times in a row, proves that at Sii, we create a friendly work environment.

Sii ensures that all employment-related decisions are made solely on the basis of qualifications and competencies. We are committed to equal treatment of all individuals, regardless of any protected characteristics, and promoting a diverse and inclusive work environment.

This is how we work