Top Artificial Intelligence Jobs in Krakow

Lead a team developing AI solutions for logistics, focusing on managing engineers, driving technical decisions, and improving delivery systems.

Drive technical excellence as a Lead Engineer in AI logistics, guiding architecture and mentoring a team while actively coding and collaborating with stakeholders.

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.

Design and develop AI applications, deploy machine learning models, integrate AI into business systems, and work with cross-functional teams to create AI-driven solutions.

Develops and programs integrated software algorithms to analyze data, improve product performance, and apply machine learning in various environments using programming languages and technologies.

As an R&D Engineer, you'll develop and validate AI/ML technologies for HVDC solutions, collaborate globally, and innovate optimization methods.

The Senior Director of AI Product & Engineering leads AI engineering teams to design, build, and scale AI solutions, ensuring quality and enterprise standards.

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.

Lead design and evolution of AI agent architecture (Master Agent + domain agents) across Copilot Studio, Azure and multicloud. Define integrations, knowledge layers, conversational UX, LLMOps, security, performance, and quality metrics. Collaborate with DevOps, Security, AI/ML engineers and domain owners to implement standards, compliance, monitoring, and continuous improvement for enterprise knowledge management.

Lead AI initiatives, leveraging existing models, conducting data modeling, collaborating with teams, and ensuring timely project completion.

Design and enhance the user experience for an LLM-based productivity tool, collaborating with cross-functional teams and utilizing user feedback.

The Junior AI Business Analyst will support AI experimentation and business analysis within a corporate banking context, focusing on prompt engineering and agile delivery.

Lead design and implementation of AI and computer vision algorithms for robotics using ROS. Consult on system architectures, perform research, translate imaging algorithms to robotics platforms, and develop tools for production AI/ML and ROS deployments.

The role involves overseeing multiple projects within the EPMO, driving project delivery, coaching leaders, and integrating AI solutions while ensuring alignment with enterprise objectives.

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

SwissBorg seeks visionary thinkers and creative mavericks in fintech, blockchain, AI, and more. Share your profile to explore opportunities.

As an IS CX Solution Architect for AI, you will design, develop, and oversee AI solutions for consumer experience, ensuring alignment with enterprise standards and collaborating with various teams to deliver optimal outcomes.

Lead the development of GenAI infrastructure, build ML platforms, contribute to LLM testing and deployment, and collaborate across teams to improve AI-driven experiences.

The Principal Product Designer will drive product design strategy, mentor other designers, and lead complex design initiatives while ensuring high-quality, user-centered design practices.

As an AI Consultant, you will advise banking clients on AI/ML solutions, support model design, ensure compliance, and assess data quality.

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.

Lead and govern enterprise application architecture at ABB, ensuring coherent evolution while supporting autonomous business units in application development.

Design and deliver LLM-driven, AWS-integrated .NET applications, build RAG and vector retrieval pipelines, implement MCP servers, orchestrate content-intake workflows, and collaborate across product and engineering teams to ensure scalable, secure AI solutions.

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

Develop and deliver AI applications by integrating ML and generative models, collaborate on requirements, deploy and optimize AI solutions, and mentor junior engineers.