Top Artificial Intelligence Jobs in Poland

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

The Lead Agentic AI Engineer role involves optimizing AI models for real-world applications, requiring expertise in model design, performance tuning, and hands-on experimentation.

The Agentic AI Data Scientist will drive learning and optimization of AI systems, focusing on signal extraction, training data generation, and evaluation metrics, while collaborating with teams to improve logistics outcomes.

The Lead AI & Data Engineer will develop and enhance data engineering and analytics capabilities, focusing on scalable data ingestion, transformation, and integration with GenAI tools, while ensuring data quality and collaborating with cross-functional teams.

Lead design, development, and deployment of scalable, ethical AI agents and multi-agent systems. Architect integrations, automation workflows, and MLOps pipelines on cloud platforms. Drive technical strategy, mentor engineers, define KPIs, ensure observability and operational excellence, and collaborate across product, data, and UX to deliver enterprise AI solutions.

The Principal AI/ML Engineer will lead the architecture and development of HERE's Agentic AI Framework, focusing on delivering scalable agent-based systems, mentoring engineers, and influencing multiple teams.

The role involves designing and deploying AI systems for clinical operations, developing models for decision-making, and ensuring AI implementation aligns with data governance standards. Responsibilities include collaborating across teams, enhancing operational efficiency, and advancing AI applications in a regulated environment.

Lead enterprise-wide applied AI strategy, system-level architecture, and operating-model design. Direct mixed teams (engineers, contractors, vendors), set governance/standards, and stay hands-on for architecture and code review. Ensure AI investments deliver measurable business outcomes, reusable capabilities, and coherent, secure solutions at scale.

Own and drive AI initiatives end-to-end: plan and track milestones, manage dependencies, remove risks and blockers, coordinate vendors and resources, facilitate cross-functional decisions (Medical, Legal, Regulatory, Compliance, Privacy), run governance and reviews, and produce clear status and reporting to leadership while promoting AI-enabled operating models.

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.

Develop user-facing web applications and conversational interfaces for AI solutions, focusing on performance and usability while collaborating with backend engineers.

The Senior Backend Software Engineer will design and implement backend systems and APIs for AI-driven logistics, ensuring performance and reliability.

The Agentic AI Domain Architect designs AI-powered workflows, governing agent interfaces across systems, translating customer workflows into agent skills, and driving data-centric improvements.

The Senior Software Test Engineer will design and build automated testing frameworks for AI systems, focusing on logistics, reliability validation, and scenario simulations for complex, non-deterministic systems.

The Data Scientist will design and optimize ML and Generative AI models, perform data analysis, and collaborate with technical teams to develop AI solutions. Requires 4 years of experience and strong Python skills.

Own partnership sourcing, negotiation, and deal execution to drive adoption of Walrus across AI and Web3 ecosystems. Build relationships with AI builders, data vendors, compute networks, and web3 partners; lead contract negotiations; and manage cross-functional integration from signing through execution.

The role involves leading and developing prototypes related to core banking functions, engaging with partners, managing projects, and representing BIS at events.

As a RAN Technical Support Intern, you'll support mobile network solutions, troubleshoot RAN systems, and implement AI/ML solutions while learning from experienced professionals.

The AI Solutions Architect will lead the design of GenAI solutions, evaluate AI frameworks, support presales efforts, and ensure solutions are scalable and secure.

The Data Science Lead will lead a team of data scientists in developing ML systems for logistics, overseeing the entire lifecycle from research to production.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

As an AI Engineering Lead, you'll shape AI operations, develop strategies, mentor a team, and integrate AI technologies into operations for impactful outcomes.

Develop and enhance a platform for supply chain transparency using advanced technologies while ensuring trust and authenticity in global supply chains.

Lead and develop an engineering team to enhance HERE's Agentic AI framework, ensuring high quality and accountability in software solutions.

The VP of Business Development will drive commercial growth in Europe, focusing on strategic opportunities with renewable energy stakeholders and building relationships to enhance market presence.