Top Artificial Intelligence Jobs in Poland

Design, develop, and deploy scalable AI/ML solutions for healthcare and operations. Own end-to-end pipelines, build conversational AI and computer vision systems, optimize automation, ensure production performance and reliability, and collaborate with product and engineering stakeholders.

Design and deliver enterprise AI and Generative AI solutions, build data pipelines, integrate AI outputs, and define AI delivery best practices.

As a Senior Data Scientist, you'll develop AI algorithms, collaborate with teams, analyze data, and enhance decision-making through advanced methodologies.

The Junior Marketing Specialist will create content, analyze brand visibility, collaborate with teams, and evolve towards a marketing generalist role.

The role involves designing AI agents for operations, developing ML models, and integrating solutions into workflows while collaborating with teams.

The HR Advisor provides expert HR guidance using AI tools for case management, ensures compliance with policies, optimizes knowledge content, and enhances employee experience through continuous improvement and engagement with stakeholders.

The AI Redesign Process Consultant will analyze and redesign business processes for AI integration, implement changes, and drive tangible improvements across functions.

The role involves designing and developing automation solutions using Blue Prism, integrating AI and document processing technologies, and collaborating with cross-functional teams for impactful solutions.

The role involves implementing AI-driven solutions for compliance automation, conducting data analysis, collaborating with cross-functional teams, ensuring regulatory compliance, and driving continuous improvement in AI use cases.

The Director will lead a team to design and implement AI-driven workforce optimization systems, focusing on scalable solutions, data integration, and strategic workforce planning using machine learning and analytics.

The AI Data Engineer will build and enhance data pipelines for AI initiatives, ensuring compliance, governance, and collaboration with cross-functional teams.

The Senior Automation Test Engineer will validate AI features, develop automation strategies, conduct comprehensive testing, and integrate tests into CI/CD pipelines.

As a Customer AI Analyst, you will optimize customer accounts for AI performance, design prompts for LLMs, deliver insights, and collaborate with teams to enhance service delivery and customer engagement.

As a Customer AI Strategist, you will guide enterprise marketers in Europe through AI Marketing strategies, ensuring measurable results and driving business transformations while managing key client relationships and collaborating with internal teams.

The role involves integrating and validating AI solutions, researching trends, and benchmarking AI performance on Intel hardware. The engineer will work with internal teams and customers to optimize AI applications and drive product enhancements.

As an AI Software Solutions Engineer, you will optimize AI solutions on Intel's hardware platforms, ensure readiness of AI applications, perform benchmarking, and support customer integrations in Edge AI applications.

Design, build, and deploy generative AI solutions and APIs that integrate with data platforms. Implement RAG and prompt strategies, automate data workflows, ensure data quality and governance, and document integrations while collaborating with data, IT, and business teams.

As an AI Full-Stack Engineer, you will design user-facing AI applications, develop frontend interfaces, manage backend integrations, and enable AI workflows while collaborating with teams to optimize decision-making processes for Roche's Partnering organization.

The AI Video Creator is responsible for creating and optimizing engaging short-form videos using AI tools while ensuring strong storytelling and visual consistency across various platforms.

The AI Data Engineer will build scalable data pipelines, drive AI tool adoption, enhance engineering efficiency, and collaborate across teams to implement best practices.

The AI Solutions Architect will design AI-driven solutions, focusing on Generative AI. Responsibilities include architecture design, pre-sales activities, technical leadership, and ensuring alignment with business goals.

This role involves owning the product lifecycle for AI features, mentoring engineers, designing solutions, and collaborating with cross-functional teams in a fast-paced environment.

The AI Principal Product Manager will oversee AI feature development, optimize workflows, mentor engineers, and ensure product success through collaboration and data-driven decisions.

As a Senior Full Stack Engineer, you will design, develop, and deploy AI-forward SaaS products, owning features end-to-end and collaborating with various teams to rapidly deliver impactful solutions.

The Senior Full Stack Engineer will design and develop AI-driven SaaS products, ensuring end-to-end feature ownership, integration of AI models, and collaboration with cross-functional teams.