Top Artificial Intelligence Jobs in Poland

The Solutions Architect will design and implement Data & AI solutions, focusing on architecture strategy, collaboration with teams, and governance practices to enhance scalability and security.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

As a Research Engineer, you will develop evaluation tools for AI coding agents, analyze failures, and improve Kotlin code generation techniques. You'll also build public benchmarks for agent performance and maintain evaluation infrastructure.

Design, build, and maintain scalable systems and features across the stack, focusing on backend and API-driven architecture while integrating AI workflows.

Coordinate marketing initiatives while ensuring quality assurance through AI-powered workflows. Manage campaigns, compliance, and prompt engineering for marketing tools.

The Technical Product Manager will define and drive AI-related product strategies, collaborating with cross-functional teams to enhance developer workflows. Responsibilities include roadmap execution, understanding user needs, and ensuring successful product launches.

The AI Transformation Lead drives AI strategy and implementation across departments, identifies automation opportunities, and fosters an AI-driven culture in the company.

As an AI Solution Architect, you'll lead AI strategies, design architectures, evaluate frameworks, ensure compliance, and collaborate with teams for production deployment in enterprises.

The Senior Administrative Business Partner will manage high-level scheduling, project coordination, and logistics while optimizing operational workflows and maintaining stakeholder relationships.

The Solution Architect will document AI advancements, lead deployments, support customer adoption, and work on telecom applications using NVIDIA technology.

The Solutions Architect (AI/ML) will lead technical discovery, design AI/ML architectures, translate business requirements, and support AI productization while collaborating with client teams.

The Senior AWS and Azure DevOps Engineer will build and support infrastructure to enhance software delivery, ensuring availability and scalability while monitoring key metrics. They will lead teams and work with various cloud and container technologies.

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.