Top Artificial Intelligence Jobs in Poland

As a Senior Frontend Engineer, you will develop and maintain UI features for hx Renew, collaborating with frontend and backend teams to ensure a high-quality user experience.

As an AI Engineering Lead, you'll shape AI operations, develop strategies, mentor a team, and integrate AI technologies into operations for impactful outcomes.

Conduct internal projects in AI, software engineering, and telecommunications, focusing on system-level design and automation, collaborating with experienced architects.

As a Principal Solutions Architect, you will guide customers in using GitLab's AI-powered platform, driving technical strategy and engagement across the software lifecycle while collaborating with multiple teams to enhance adoption and success.

The role involves designing scalable data pipelines and architectures, integrating multiple data sources, and ensuring data quality and governance within the CMDB and Asset Intelligence platform.

This AI Summer Internship is for students in technical fields to gain hands-on experience in AI, collaborating on projects and learning under mentorship.

Lead and develop an engineering team to enhance HERE's Agentic AI framework, ensuring high quality and accountability in software solutions.

The Agentic AI Data Scientist will drive learning and optimization of AI systems, focusing on signal extraction, training data generation, and evaluation metrics, while collaborating with teams to improve logistics outcomes.

The Principal AI/ML Engineer will lead the architecture and development of HERE's Agentic AI Framework, focusing on delivering scalable agent-based systems, mentoring engineers, and influencing multiple teams.

As DICE Innovation Lead, drive digital transformation by identifying and developing technology opportunities, collaborating with stakeholders, and executing innovative solutions.

Develop user-facing web applications and conversational interfaces for AI solutions, focusing on performance and usability while collaborating with backend engineers.

The Senior Backend Software Engineer will design and implement backend systems and APIs for AI-driven logistics, ensuring performance and reliability.

The Senior Software Test Engineer will design and build automated testing frameworks for AI systems, focusing on logistics, reliability validation, and scenario simulations for complex, non-deterministic systems.

As an AI Operations Engineer, you will design and maintain AI pipelines, ensure deployment of AI models, and mentor junior engineers.

As a Senior AI Operations Engineer, you will design, implement, and optimize AI pipelines, ensuring smooth model deployment and team mentorship.

The Chief Data & AI Officer will lead the establishment of a company's data and AI infrastructure, ensuring reliable information capture, decision-making processes, AI system integration, and compliance with governance standards.

The Data Scientist will design and optimize ML and Generative AI models, perform data analysis, and collaborate with technical teams to develop AI solutions. Requires 4 years of experience and strong Python skills.

The AI Solutions Architect will lead the design of GenAI solutions, evaluate AI frameworks, support presales efforts, and ensure solutions are scalable and secure.

Lead development of AI-powered capabilities, bridging technology, product strategy and market commercialization, while managing product portfolios and cross-functional teams.

The AI Engineering Team Leader is responsible for collaborating with clients to develop custom solutions and technology products, promoting cross-functional skill development and internal mobility within ZS.

The Data Science Lead will lead a team of data scientists in developing ML systems for logistics, overseeing the entire lifecycle from research to production.

The Agentic AI Domain Architect designs AI-powered workflows, governing agent interfaces across systems, translating customer workflows into agent skills, and driving data-centric improvements.

The Lead AI & Data Engineer will develop and enhance data engineering and analytics capabilities, focusing on scalable data ingestion, transformation, and integration with GenAI tools, while ensuring data quality and collaborating with cross-functional teams.

Develop and enhance a platform for supply chain transparency using advanced technologies while ensuring trust and authenticity in global supply chains.

Manage a team of data scientists to build ML systems for logistics, overseeing the entire lifecycle, mentoring, and collaborating with technical teams.