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Solutions Architect – AI SDLC
Location
Poland
Posted
11 days ago
Salary
zł150 - zł220 / hour
Seniority
Lead
Job Description
Solutions Architect – AI SDLC
Future Processing
• podnosi dojrzałość procesu dostarczania SDLC w projektach z wykorzystaniem AI, • doradza technologicznie i architektonicznie przy projektowaniu rozwiązań AI, z uwzględnieniem kosztów, ryzyk i wartości biznesowej, • projektuje architekturę systemów AI oraz rozwiązań wspierających proces SDLC we współpracy z zespołami inżynierskimi, • tworzy i rozwija rozwiązania oparte o AI (np. agenci AI) usprawniające Delivery, w szczególności proces wytwarzania oprogramowania, • projektuje i wdraża autonomiczne pipeline'y SDLC, w których AI ewoluuje z roli asystenta wytwarzania kodu do roli samodzielnego systemu realizującego zadania end-to-end (np. analiza wymagań, generowanie zmian, testowanie, walidacja, tworzenie PR-ów, monitoring jakości itp.), • współtworzy strategię oraz wizję AI-first SDLC i AI Delivery w skali organizacji, • definiuje standardy, wzorce i dobre praktyki w obszarze AI i architektury, • dzieli się wiedzą, prowadzi mentoring oraz rozwój kompetencji zespołów technicznych.
Job Requirements
- masz co najmniej **7 lat doświadczenia w IT**, w tym **minimum 2 lata praktycznej pracy z rozwiązaniami AI**, w szczególności wspierającymi proces SDLC,
- posiadasz solidne **doświadczenie architektoniczne w projektowaniu i wdrażaniu systemów** w technologiach **.NET, Java lub Node.js**,
- posiadasz praktyczną znajomość co najmniej jednej chmury publicznej: **AWS lub Azure**, w tym projektowania architektury, doboru usług oraz aspektów kosztowych i bezpieczeństwa,
- tworzyłeś oprogramowanie w ramach **zautomatyzowanego, AI-wspomaganego procesu SDLC**, obejmującego development, testy i CI/CD,
- znasz i wykorzystywałeś komercyjnie w praktyce **narzędzia AI wspomagające development**, takie jak** GitHub Copilot, Cursor, Claude Code oraz popularne MCP**,
- posiadasz bardzo dobrą znajomość **Generative AI i integracji modeli LLM** oraz rozumiesz ich realne zastosowanie w procesach biznesowych, delivery oraz wytwarzaniu oprogramowania,
- masz doświadczenie w projektowaniu i wdrażaniu systemów opartych o AI, takich jak RAG, semantyczne wyszukiwanie, workflow AI oraz single- i multi-agentowe systemy AI,
- posiadasz bardzo dobrą **znajomość projektowania autonomicznych agentów AI** oraz systemów zdolnych do samodzielnego wytwarzania oprogramowania (agentic coding / autonomous software engineering), w tym orkiestracji zadań, kontroli jakości, walidacji oraz podejmowania decyzji w ramach SDLC,
- masz praktyczne **doświadczenie w optymalizacji kosztów i wydajności rozwiązań opartych o LLM**, w szczególności w obszarach takich jak token usage optimization, prompt engineering, zarządzanie kontekstem, caching, dobór modeli i parametrów,
- pracowałeś z platformami Microsoft w kontekście AI (np. Microsoft Copilot Studio, AI Foundry, Microsoft Agent Framework) lub rozwiązaniami równoważnymi,
- projektujesz i wyceniasz rozwiązania AI, uwzględniając wymagania biznesowe, specyfikę danych, ograniczenia technologiczne oraz koszty utrzymania,
- masz doświadczenie w działaniach R&D w obszarze AI**, prototypowaniu oraz iteracyjnym testowaniu rozwiązań, gdzie celem jest budowa w pełni autonomicznego procesu SDLC z elementami self-improvement (np. uczenie się na błędach, self-eval, feedback loop, automatyczna optymalizacja promptów, narzędzi i pipeline’ów).
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