Top Artificial Intelligence Jobs in Poland

Lead design, conduct, and reporting of global real-world evidence and epidemiologic studies for oncology assets. Synthesize literature, develop study protocols/reports, deliver RWE insights, support regulatory submissions, cultivate internal and external partnerships, ensure quality and compliance, and communicate findings to stakeholders and regulatory authorities.

Design and maintain scalable data pipelines, connectors, and reusable data products to make enterprise data AI-ready. Enable RAG, semantic search, agentic workflows, and production deployment of AI solutions while enforcing data quality, governance, metadata, security, and cross-team collaboration.

Lead AI Value Analyst responsible for building and maintaining business cases for AI initiatives, estimating and tracking benefits, and reporting ROI. Partners with stakeholders, Finance, and AI CoE to quantify productivity, cost, revenue, and risk impacts, prioritize opportunities, validate data and assumptions, and produce dashboards and presentations to communicate realized value and governance across the AI portfolio.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, including LLM inference infrastructure, RAG, AI agents, and evaluation/observability. Design and run experiments (A/B tests), optimize systems for production performance and reliability, and iterate rapidly with product and design partners.

Paid on-site internship in Krakow offering hands-on AI experience. Collaborate on projects using Python/C++ and ML frameworks (numpy, pandas, sklearn, PyTorch), learn about LLMs, RAG, embeddings and agents, work 35–40 hours/week with mentor support on 3-month or up-to-1-year civil contract.

Design and build GitLab Duo CLI features in TypeScript, shape AI-assisted developer experiences, improve CLI reliability, observability, and performance, collaborate across Developer Clients, and provide technical leadership and mentorship.

Design, build, and operate an enterprise AI Hub providing shared runtime, CI/CD, model registry, observability, governance, and developer tooling to enable scalable, secure production AI and self-service capabilities across cloud and hybrid environments.

Design, build, deploy, and optimize production-grade generative AI agents, copilots, and intelligent workflows. Lead end-to-end delivery from solution design and prompt engineering to deployment, monitoring, and continuous improvement. Partner with business stakeholders to transform processes for AI-first execution, define KPIs, ensure governance and security, provide training and change management, and contribute reusable frameworks and best practices across the AI Center of Excellence.

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

Design, build, and deploy AI agents and conversational solutions using Microsoft Copilot Studio and Power Platform. Integrate LLM-based, RAG-enabled systems with enterprise APIs, implement monitoring/analytics, ensure security and governance, and collaborate with stakeholders in Agile delivery.

Design and implement a scalable control plane for AI storage, optimize performance, collaborate cross-functionally, and enhance reliability.

Design, implement, and optimize end-to-end AI pipelines including model training, deployment, monitoring, and inference. Build IaC and CI/CD workflows, ensure secure compliant production deployments, design deep learning models for NLP/vision/speech, troubleshoot performance, and mentor junior AI/Ops engineers while collaborating with stakeholders.

Design and implement cloud and platform solutions (AWS/Azure) using Terraform, integrate Generative AI/LLM technologies with enterprise tools (Grafana, Splunk, Collibra, Kubernetes, Envoy, LiteLLM), collaborate with architects and stakeholders to define integration patterns and scalable designs, and provide hands-on implementation and technical consulting within Agile teams.

The AI Portfolio and Technology Manager will drive AI strategy, oversee initiatives, shape architecture, ensure responsible practices, and enhance organizational readiness for AI adoption.

Lead Accenture's global Data & AI compliance program: review internal and client projects, translate legal/regulatory AI and data requirements into policy, work with risk and security teams, advise contracting counsel, develop guidance and training, monitor trends, and build stakeholder relationships to operationalize compliance across services and offerings.

Design and build scalable platform capabilities that expose location intelligence to agentic AI. Implement reliable LLM-driven decision pipelines, optimize latency/cost for edge deployments, define evaluation and reliability strategies, and lead cross-functional technical direction and integration.

Lead engineering activities for productizing Deep Learning models, mentoring team members, collaborating across units, and optimizing DL workloads.

Analyze and investigate customer matches against sanctions and KYC/AML lists during account opening and maintenance. Conduct searches, gather and record evidence from internal systems, internet and commercial databases. Collaborate with Business and Compliance partners, operate within agreed timeframes, apply training, build sanctions/KYC knowledge, and use AI/ML screening tools to support alert disposition.

Assist customers with claims regarding delayed or cancelled flights, using legal knowledge for guidance and communicating through various channels.

As a Junior Operations Specialist in Customer Support, you'll assist air travelers with claim handling, provide legal advice, and support clients via multiple communication channels.

As a Junior Operations Specialist, you'll assist customers with claims for flight issues, provide legal advice, and communicate through various channels.

Assist customers with claim-handling processes related to flight issues, utilizing legal knowledge to support air travelers effectively.

Assist air passengers with their claims through timely communication across various channels. Provide legal advice with training support and follow operational procedures.

Assist customers with claims and queries via various channels, utilizing legal knowledge and following procedures in a shift-based environment.

Assist air travelers with claims and queries, utilizing legal knowledge for advisory, and providing customer support via various channels.