AI Architect (f/m/x)

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SeniorHybryda·WarszawaFull-time

#477865·Dodano wczoraj·0

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Python LLM LangChainCloud computingAWS GCP Microsoft AzureModel Fine-TuningLangGraph Machine learning

Podsumowanie oferty

The role designs and delivers generative and classical AI systems for client projects, from solution architecture and estimates through production delivery. It combines hands-on technical leadership with client-facing discovery and proposal work, using Python, AI frameworks such as LangChain, and a major cloud platform (Azure, AWS, or GCP).

Wymagania

At least 10 years of experience in software, data, or ML engineering, including at least 3 years focused on AI/ML architecture at scale.
Production-level fluency in at least one major cloud AI ecosystem: Azure, AWS, or GCP.
Experience in client-facing roles, leading technical 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 skills in Python and practical experience with AI/ML frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent.
Experience building production knowledge-grounded AI systems and agent architectures.
Understanding of transformer architectures and their impact on system design, including context windows, latency, and cost.
Fluent written and spoken Polish and English.

Nice to have:

Experience fine-tuning LLMs using LoRA, QLoRA, RLHF, or DPO, and understanding when fine-tuning is worthwhile compared with 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.

Obowiązki

Lead client-facing discovery sessions, technical workshops, and architecture presentations; translate business problems into AI solution specifications.
Analyze RFP/RFI documents, assess feasibility, and prepare technical proposals with architecture diagrams, delivery timelines, team composition, and cost breakdowns.
Scope and estimate AI projects end to end, including data readiness, infrastructure needs, cloud costs, and ongoing operational expenses.
Design end-to-end architectures for generative and classical AI systems, including knowledge-grounded AI, agentic workflows, multi-model orchestration, and hybrid search solutions.
Select and defend technology choices, including foundation models, vector databases, orchestration frameworks, and inference infrastructure.
Define MLOps/LLMOps practices and data pipelines, including 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 practices.

Benefity

Dedicated budget and resources, plus two paid weeks, to develop an AI idea into a working project.
Support for attending conferences and dedicated preparation time and bonuses for speaking at them.
Access to AI-powered development tools, including Claude, Cursor, and GitHub Copilot.
Medical care, insurance, sport cards, language courses, referral programs, welcome packs, and occasional gifts.
Passion Sponsorship program, integration events and trips, internal training center, mentoring, and buddy program.
Jubilee rewards, profit sharing, sport and hobby communities, and breakfast, drinks, and fresh fruit in the office.

Opieka zdrowotna

Ubezpieczenie

Karta sportowa

Kursy językowe

Budżet konferencyjny

Spotkania integracyjne

Szkolenia wewnętrzne

Udział w zyskach

Premie

Napoje w biurze

Darmowe przekąski

Inne informacje

Residing in Poland is required.

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