AI Architect (with Python)
⚲ Warszawa, Wrocław, Kraków
23 520 - 31 920 PLN netto (B2B)
Wymagania
- RAG Architectures
- LLM
- LangChain, LangGraph, LlamaIndex or similar
- Docker
- vector databases
- AI or Generative AI
- Kubernetes
- cloud environments (Azure, AWS or GCP)
- Python
Opis stanowiska
About the role
We are looking for an experienced AI Architect who combines strong software engineering skills with practical experience designing and delivering AI-powered solutions. This is a hands-on role where you will define solution architecture while actively contributing to implementation using Python.
Responsibilities
• Design end-to-end AI solution architectures for enterprise environments
• Lead the technical design of Generative AI and Machine Learning solutions
• Build production-ready AI services using Python
• Define AI platform architecture, integration patterns and deployment strategies
• Design scalable RAG (Retrieval-Augmented Generation) solutions
• Select appropriate LLMs, vector databases and AI frameworks
• Collaborate with Software Engineers, Data Engineers, Data Scientists and business stakeholders
• Define security, governance and responsible AI best practices
• Review solution designs and mentor engineering teams
• Drive AI engineering standards and best practices across projects
Requirements
• 7+ years of software engineering experience
• 3+ years of commercial experience delivering AI or Generative AI solutions
• Expert-level Python programming skills
• Strong experience with LLM-based applications
• Experience with frameworks such as LangChain, LangGraph, LlamaIndex or similar
• Experience designing RAG architectures
• Experience with vector databases (Pinecone, Weaviate, Milvus, Chroma, Azure AI Search or similar)
• Experience integrating AI services through APIs
• Knowledge of prompt engineering techniques
• Experience deploying AI solutions to cloud environments (Azure, AWS or GCP)
• Familiarity with containerization (Docker) and Kubernetes
• Experience with CI/CD and software architecture best practices
• Excellent communication and stakeholder management skills
• Fluent English - C1
Nice to have
• Experience with AI Agents and multi-agent systems
• Experience with MLOps or LLMOps
• Knowledge of Azure AI Foundry, Azure OpenAI, AWS Bedrock or Google Vertex AI
• Experience with evaluation and monitoring of LLM applications
• Relevant cloud or AI certifications
We are looking for an experienced AI Architect who combines strong software engineering skills with practical experience designing and delivering AI-powered solutions. This is a hands-on role where you will define solution architecture while actively contributing to implementation using Python.
Responsibilities
• Design end-to-end AI solution architectures for enterprise environments
• Lead the technical design of Generative AI and Machine Learning solutions
• Build production-ready AI services using Python
• Define AI platform architecture, integration patterns and deployment strategies
• Design scalable RAG (Retrieval-Augmented Generation) solutions
• Select appropriate LLMs, vector databases and AI frameworks
• Collaborate with Software Engineers, Data Engineers, Data Scientists and business stakeholders
• Define security, governance and responsible AI best practices
• Review solution designs and mentor engineering teams
• Drive AI engineering standards and best practices across projects
Requirements
• 7+ years of software engineering experience
• 3+ years of commercial experience delivering AI or Generative AI solutions
• Expert-level Python programming skills
• Strong experience with LLM-based applications
• Experience with frameworks such as LangChain, LangGraph, LlamaIndex or similar
• Experience designing RAG architectures
• Experience with vector databases (Pinecone, Weaviate, Milvus, Chroma, Azure AI Search or similar)
• Experience integrating AI services through APIs
• Knowledge of prompt engineering techniques
• Experience deploying AI solutions to cloud environments (Azure, AWS or GCP)
• Familiarity with containerization (Docker) and Kubernetes
• Experience with CI/CD and software architecture best practices
• Excellent communication and stakeholder management skills
• Fluent English - C1
Nice to have
• Experience with AI Agents and multi-agent systems
• Experience with MLOps or LLMOps
• Knowledge of Azure AI Foundry, Azure OpenAI, AWS Bedrock or Google Vertex AI
• Experience with evaluation and monitoring of LLM applications
• Relevant cloud or AI certifications
🔍 Dekoder Ogłoszenia
🔴
This is a hands-on role where you will define solution architecture while actively contributing to implementation using Python.
Oczekuje się, że będziesz zarówno projektować architekturę, jak i aktywnie kodować, co może oznaczać większe obciążenie pracą niż sugeruje tytuł.
🟡
Lead the technical design of Generative AI and Machine Learning solutions
Może oznaczać faktyczne kierowanie zespołem lub jedynie bycie głównym architektem technicznym bez formalnych obowiązków managerskich.
🟡
Build production-ready AI services using Python
Wymaga umiejętności tworzenia stabilnych i skalowalnych rozwiązań, a nie tylko prototypów.
🟡
Define AI platform architecture, integration patterns and deployment strategies
Obejmuje szeroki zakres odpowiedzialności, od infrastruktury po strategię wdrażania, co może być bardzo wymagające.
🟡
Review solution designs and mentor engineering teams
Oprócz roli architekta, będziesz odpowiedzialny za ocenę pracy innych i ich rozwój, co dodaje element zarządzania wiedzą.