Top Artificial Intelligence Jobs in Poland

The role involves modernizing the data ecosystem for AI/ML tools by defining data architecture, governance, quality standards, and strategies for secure data access, as well as overseeing training and mentoring teams on best practices.

As a Supply Chain AI Engineer, you will design and deploy AI/ML models to optimize supply chain operations, improve data quality, and leverage Generative AI techniques, while collaborating with cross-functional teams.

The ORR Technology Lead Analyst executes testing activities for risk assessments, collaborates with business lines, identifies control weaknesses, and prepares documentation on compliance and operational risks.

Build backend services to integrate AI capabilities within payroll workflows, collaborating with ML engineers to develop AI-powered tools.

This FP&A role involves financial analysis, reporting, project management, and optimizing performance through data-driven solutions, including AI initiatives.

The Senior AI Data Engineer will lead the development of data infrastructure for AI projects, ensuring scalable data pipelines and governance, while collaborating with the AI team to optimize performance and facilitate AI training and operations.

The AI Tech Lead is responsible for leading the technical execution of Agentic AI solutions, ensuring engineering standards and quality are met. This role includes translating architecture into build plans, enforcing coding standards, troubleshooting, and overseeing vendor contributions, while collaborating with various teams for successful project delivery.

The AI Native Engineer will design AI-assisted workflows, prototype quickly, document solutions, and work alongside experienced engineers to tackle complex problems.

The AI Augmented Engineer will own technical problems, utilize AI for various tasks, mentor peers, and ensure quality delivery in various domains like logistics and operations.

The Technical Content Specialist creates video tutorials and written materials for Coupler.io, managing the entire production process and ensuring high-quality content delivery.

The DevOps Engineer (AI) will collaborate on code development and optimization, implement CI/CD processes, and manage AI tools, ensuring secure and efficient deployment within team environments.

Design and implement full-stack applications and AI agents while mentoring engineers and leading project ownership, focusing on rapid development and deployment of AI capabilities.

The VP Analyst will provide insights on AI and application services to C-level clients, conduct research, develop content, and deliver strategic advisory sessions. They will leverage broad industry experience and technical knowledge in AI technologies and application stacks.

The AI Product Manager will identify AI solutions, manage the product roadmap, collaborate with teams, implement GTM strategies, and drive product performance improvements.

The UI/UX Designer will collaborate with teams to create high-fidelity Figma designs and prototypes, focusing on financial interfaces and ensuring user-friendly solutions.

Design and maintain data pipelines and ML systems, implement MLOps practices, and collaborate with teams to address client challenges in AI and data projects.

Lead the development of AI-driven systems for auto repossession and remarketing, guiding architectural decisions and mentoring engineers, while ensuring high-quality and resilient software solutions.

The Software Developer Intern will design, implement, and support AI and software solutions while learning from experienced mentors in the Telecom field.

Lead the transformation of the General Accounting function through AI and automation, enhancing decision-making, operational efficiency, and compliance while fostering a culture of innovation.

The Senior Generative AI Engineer will design and develop the Orion GenAI Platform, standardize technology stacks, and enhance innovation speed while collaborating across teams.

The AI Product Owner translates business needs into agent-ready requirements, manages the product backlog, and ensures product delivery across various lifecycle stages, collaborating with engineering and architecture teams.

Design and develop AI agents using machine learning to automate complex tasks. Lead systems analysis, ensure high performance, and collaborate with teams.

The Gen AI Developer leads the design and development of AI agents, focusing on agent-based systems and machine learning integration, collaborating with cross-functional teams to create scalable solutions.

The Commercial AI Solutions Analyst will collaborate with teams to implement AI initiatives and ensure data quality for business insights. Responsibilities include data validation, user acceptance testing, and promoting AI literacy within sales.

As an AI Product Engineer, you'll manage and improve internal tooling and workflows, collaborate with teams on client increments, and ensure efficient adoption of new AI capabilities.