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September 18, 2026

IT Automation & AI Systems Engineer

Senior • On-site

Kraków, Poland

Quick Facts

  • Role: IT Automation & AI Systems Engineer

  • Focus: automation, AI adoption, enterprise internal platform development

  • Work: build integrations, AI-powered tools, and internal platform enhancements

Description

You will help drive automation and AI adoption by building scalable solutions across enterprise applications, data platforms, and AI services. The role combines Snowflake, AI, automation, and enterprise systems work, collaborating with teams across HR, Finance, Security, Engineering, and Operations. You’ll develop AI-powered assistants and workflow solutions, support internal platforms for reporting/governance, and troubleshoot integration and automation issues.

Responsibilities

  • Build and maintain automations across business and operational systems

  • Design integrations between enterprise applications, data platforms, and AI services

  • Develop AI-powered tools, assistants, and workflow solutions

  • Support and enhance internal platforms for reporting, governance, and operations

  • Troubleshoot data, integration, API, and automation issues

  • Partner with business stakeholders to improve processes and operational efficiency

  • Support AI governance, monitoring, and adoption initiatives

Requirements

  • Strong hands-on experience with Snowflake

  • Strong SQL skills and experience with cloud data platforms

  • Experience building or supporting solutions using OpenAI/Azure OpenAI/Anthropic Claude/Gemini/AWS Bedrock

  • Experience with AI solutions such as copilots, chatbots, and RAG applications / AI assistants / AI-powered analytics

  • Experience integrating systems through APIs, webhooks, and SaaS platforms

  • Python and/or PowerShell scripting skills

  • Strong troubleshooting and problem-solving abilities

Benefits

  • High-impact projects focused on AI and automation

  • Significant ownership and autonomy

  • Exposure to modern AI, cloud, and enterprise technology ecosystems

  • Collaborative international environment

  • Opportunity to shape how AI is adopted across the organization

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