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AI Solution Architect

c_levelhybrid2,000 USD · period not specifiedPoznan, PLScore 70/1002w ago
Market insights
📊 Data Engineering: salaries and demand on the market
Stack
Solution architectureAI ArchitectureRAGAgentic WorkflowsLangchainLLMopsDatabricksSnowflakeData modelingdata governanceagileaws
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Description
We are looking for an experienced AI Solution Architect responsible for designing scalable, enterprise-grade AI and data solutions within AI-native delivery pods. In this role, you will act as a pivotal bridge—ensuring perfect alignment between business objectives, product requirements, and technical architecture while driving the implementation of modern Data & AI platforms. Responsibilities End-to-End Architecture: Define and design comprehensive, scalable architecture for enterprise AI and data solutions AI-Native Innovations: Design advanced AI-native patterns including RAG, agentic workflows, and robust data pipelines Bridge Product & Tech: Translate complex business objectives and product requirements into clear, executable technical designs Engineering Mentorship: Guide and mentor engineering teams on implementation standards, coding guidelines, and best practices Governance & Principles: Define, implement, and enforce strict architecture principles and data governance frameworks Cross-functional Collaboration: Partner closely with Product Leads, Data Architects, and Engineers to ensure seamless delivery Quality Assurance: Guarantee the highest standards of scalability, high performance, and robust security across all solutions Tech Selection: Support and lead technology evaluation, selection, and platform-level decisions Requirements AI Engineering: Deep understanding of patterns like RAG, agentic workflows, and hybrid AI systems using frameworks such as LangChain, Se
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