Top Artificial Intelligence Jobs in Poland

The role involves shipping full-stack AI projects, designing experiments for AI features, and optimizing AI infrastructure while collaborating with teams.

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.

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.

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 role involves designing and managing robust software architecture for Robotics AI and Data & Analytics, ensuring compliance and integration across systems while optimizing services.

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.

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.

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.

As a Senior SecOps Engineer, you will design and operate security controls across products, manage IAM, oversee data governance, and lead incident response and vulnerability management within cloud environments.

The Senior AI Engineer will develop an enterprise-grade Agentic Framework for automating production lifecycles in heavy industries, ensuring quality and scalability while leading from design to implementation.

As a Principal Forward Deployed Engineer, you'll deploy JetBrains Central in enterprise environments, implement AI governance, mentor teams, and advise customers on AI-native development best practices.

Design and build backend services that integrate AI capabilities into payroll workflows. Collaborate with ML engineers and operations to deploy AI-powered tools, implement API integrations, and manage ETL pipelines for unstructured data.