AI Architect – GenAI & Cloud (f/m/x)

Sii Poland

Szczecin

On-site

PLN 320,000 - 520,000

Full time

14 days+

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Benefits offered by this job

Great Place to Work

Profit sharing

Centre of internal trainings

Medical care

Open and accessible management team

Job summary

Sii Poland is seeking a senior AI Architect in Szczecin to bridge the gap between prototype and production. You will design scalable AI solutions, estimate effort, and stay involved to ensure successful delivery, across generative and classical AI domains, including data infrastructure and model serving.

You’ll lead technical discussions with clients and guide proposals from scope to delivery. You will report to the Head of AI and split time between hands-on technical leadership and shaping new

Qualifications

10+ years in software/data/ML engineering with 3+ years in AI/ML architecture at scale.
Deep fluency in at least one major cloud AI ecosystem: Azure, AWS or GCP.
Experience leading client-facing workshops and presenting to execs and engineers.
Ability to scope and budget AI projects, incl. cloud costs and team sizing.
Hands-on Python and experience with AI/ML frameworks such as LangChain, LangGraph, Semantic Kernel.

Responsibilities

Lead client-facing engagements and translate business problems into AI solution specs.
Analyze RFP/RFI documents, assess feasibility, and build technical proposals with diagrams and timelines.
Scope and estimate AI projects end-to-end, including data readiness and infrastructure needs.
Design end-to-end architectures for generative and classical AI systems.
Define MLOps/LLMOps practices and data pipelines; oversee CI/CD for models and prompts.
Lead architecture reviews and mentor engineers on AI engineering best practices.

Skills

AI architecture

Cloud platforms

Python

Client-facing

Estimating & budgeting

MLOps/LLMOps

Knowledge graphs

Tools

LangChain

LangGraph

Semantic Kernel

Job description

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.

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.

Your tasks

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

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

Nice to have

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

Job no. 260603-MUN09

Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti‑discrimination laws.

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