Top Artificial Intelligence Jobs in Poland

Design and implement AI solutions focusing on generative AI. Collaborate with team to develop RAG applications and optimize AI model performance.

As a Lead/Staff Full Stack Engineer, you'll design and implement AI platforms, mentor engineers, and drive full-stack application development and deployment in a remote-first environment.

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.

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.

Support the stability and performance of AI and DevOps platforms, assist in incident management, automation, and monitoring, collaborating with cross-functional teams for operations.

The role requires providing technical support for IT services and infrastructure, collaborating with teams, and contributing to technical discussions, with a focus on resilience and stability activities.

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

Develop scalable Python microservices for AI systems, design developer-friendly APIs, optimize performance, and collaborate across teams in a fast-paced environment.

The Senior AI Engineer will focus on building scalable AI services, integrating LLMs, and designing orchestration logic to enhance Voucherify's incentive platform.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

Join the AI Functions Platform team at Snowflake to develop and productize AI solutions, automate deployments, and mentor junior engineers.

Lead design, implementation, and optimisation of global workforce management and AI-native WFM platforms. Drive forecasting, scheduling, real-time management, stakeholder reporting, continuous improvement, and adoption of AI-driven workforce capabilities.

The Staff AI GRC Lead will implement AI governance frameworks, conduct risk assessments, manage compliance, and support audit processes related to AI.

Develop a highly optimized inference framework for AI networking. Work on innovative products in a dynamic environment with a focus on performance and scalability.

As a Summer Trainee, you will support the development of AI/ML tooling, collaborate with teams in a SCRUM environment, automate processes using Python, and document best practices.

As Staff AI GRC Lead, you will implement AI governance frameworks, support EU AI Act compliance, maintain risk registers, and conduct vendor assessments in a regulated environment.

The role involves developing and delivering workshops on AI tools, supporting the adoption of AI across ABB, and managing training on AI concepts and change management.

As a Senior DevOps Engineer, you'll design and maintain cloud infrastructure, automate processes, manage distributed systems, and improve performance in a hybrid work environment.

The AI Engineer will develop innovative AI features, fine-tune models, and collaborate with teams on tooling while focusing on R&D to enhance AI solutions.

The Staff AI GRC Lead will implement AI governance frameworks, support compliance for AI use cases, manage risk registers, and conduct vendor assessments.

Responsible for managing strategic partnerships with technology vendors, coordinating internal resources, and driving ecosystem initiatives for AI Factories. Oversees partner engagements and relationship building to support business goals and compliance requirements.

The Project Manager will optimize processes across Sales, Marketing, and Engineering, implement AI solutions, manage projects, and analyze performance metrics.

The Senior AI Engineer will embed AI capabilities across the software development lifecycle to enhance productivity and automate workflows, focusing on LLM orchestration and developer tooling. Responsibilities include designing AI-driven SDLC accelerators and collaborating with teams to scale AI use.

The AI Automation Developer will create and deploy AI systems and workflows, collaborate with teams, manage projects, and prototype AI solutions.

You will modernise legacy services using AI, implement automation in the development lifecycle, and demonstrate AI-first practices within a team of senior engineers.