Top Artificial Intelligence Jobs in Poland

The role involves designing large-scale data processing pipelines, developing cloud applications, improving distributed technologies, and leading projects in an agile environment.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

As an AI Engineering Lead, you will drive AI operational strategies, manage teams, and ensure the integration of AI technologies into processes.

As an AI Operations Engineer, you will design and maintain AI pipelines, ensure deployment of AI models, and mentor junior engineers.

As a Senior AI Operations Engineer, you will design, implement, and optimize AI pipelines, ensuring smooth model deployment and team mentorship.

QA / AI QA Tester responsible for designing test suites and evaluation datasets for LLM/agent systems, performing response quality, PII/compliance, guardrail, performance, integration and UX testing, analyzing telemetry, documenting results, and supporting AI/domain teams on defects and data drift.

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.

As Head of Data Engineering, you'll lead the design and implementation of a reliable data platform, managing a team and ensuring data quality while integrating with AI and product teams.

Manage regulatory activities for clinical trial submissions, ensuring compliance with global health authority standards. Collaborate with stakeholders to prepare submission documents, track progress, and communicate regulatory changes.

Lead end-to-end delivery of iGaming features, coordinating Product, Development, QA, and Marketing. Manage timelines, resources, risks, third-party integrations, stakeholder communication, and continuous improvement through post-mortems to ensure timely, high-quality releases.

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

The role involves analyzing data for AI insights, developing reports, identifying trends for strategic decisions, and collaborating with AI engineers to enhance AI applications in finance.

The position involves managing regulatory submissions, collaborating on eCTD strategies, ensuring timely progress on submissions, and continuous improvement of submission processes.

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

The Operational Risk Review Analyst executes testing activities to evaluate processes and controls in areas like Technology and Cyber Security, collaborating with various teams to support risk management efforts.

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.

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

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

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

The Senior Business Analyst will facilitate requirement gathering, document business needs into clear requirements, support pre-sales, and contribute to project delivery.

The Chief Data & AI Officer will lead the establishment of a company's data and AI infrastructure, ensuring reliable information capture, decision-making processes, AI system integration, and compliance with governance standards.

Lead AI-driven consulting engagements, develop AI strategies, manage multidisciplinary teams, mentor junior colleagues, publish thought leadership, and build external network.

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.

The Senior DevOps Engineer will design, implement, and manage automation for Azure cloud services, collaborate with teams, and ensure IT security measures. Responsibilities include trouble-shooting technical issues and optimizing deployment pipelines.

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