Top Artificial Intelligence Jobs in Poland

Design difficult open-web research problems for benchmarking frontier AI browsing agents. Responsibilities include constructing multi-step questions, validating clues across databases, archives, registries, and PDFs, documenting auditable evidence trails, recording search validation results, testing research difficulty, resolving ambiguity, and delivering reproducible research documentation.

Own relationships with 40–50 enterprise EMEA clients, leading onboarding, product adoption, usage monitoring, renewals, and account expansion. Help build scalable customer success playbooks, manage NRR and GRR KPIs, and contribute to team OKRs. The role requires demonstrating value for technical SaaS products, navigating complex stakeholder environments, solving customer challenges, and driving commercial outcomes.

Supports IT infrastructure, hardware, manufacturing systems, and production applications. Responsibilities may include troubleshooting incidents, configuring SAP manufacturing modules, supporting system integrations, gathering business requirements, participating in digitalization and automation projects, and improving manufacturing processes. The role collaborates with manufacturing, engineering, business, and international IT teams while supporting technologies used in smart factories.

Design, build, test, and deploy AI-enabled applications for financial services using LLMs, RAG, semantic search, embeddings, and agentic patterns. Integrate with data platforms, ensure scalability, reliability, monitoring, and governance, and collaborate with stakeholders to deliver production-ready, explainable AI solutions.

Owns discovery and development of 0-to-1 digital products from initial concept through MVP and beyond. Responsibilities include user research, market validation, product requirements, roadmap prioritization, KPI tracking, sprint facilitation, cross-functional collaboration, prototyping AI-enabled products, and supporting positioning, pricing, and post-launch feedback. The role requires strong product judgment, autonomy, communication in English and Polish, and practical understanding of LLM capabilities and risks.

Leads global commercial customer data governance, Customer 360 strategy, segmentation, data quality, reporting, and insight initiatives. Owns customer definitions and hierarchies across SAP and Salesforce, establishes governance and KPI standards, and aligns reporting and analytics investments with business value. Partners cross-functionally to improve data quality, reporting adoption, forecast accuracy, and AI readiness while driving change management and value realization across the commercial organization.

Design and integrate automated robotic cells and production-line solutions, including electrical, mechanical, pneumatic, control, safety, and software components. Create PLC programs, HMI systems, prototypes, and documentation; debug, maintain, and service robots at customer sites. Collaborate with software engineers, contractors, and cross-functional partners, manage component procurement, and support robot deliveries. Travel to customer sites up to 20% of the time.

Lead NN’s Finance transformation strategy and roadmap in a 2–3 year assignment. Drive process optimization, automation, AI adoption, data management, SAP implementation, and data platform migration. Design target operating models and governance frameworks, lead complex cross-functional programmes, manage risks, and track benefits. Partner with the CFO and senior stakeholders across Finance, Risk, Technology, and international business functions to deliver measurable, sustainable outcomes.

Lead the design, implementation, support, and optimization of Microsoft 365 and digital workplace solutions for global users. Provide technical consultancy, manage critical incidents, ensure security and reliability, integrate AI capabilities, analyze workplace data, document processes, and mentor junior engineers. Collaborate with stakeholders and IT teams to translate business requirements into scalable, highly available technical solutions.

Designs enterprise-grade cloud, data, and AI solutions for airline operations. Responsibilities include assessing technology landscapes, identifying modernization and integration opportunities, translating business priorities into technical architectures, creating solution blueprints and documentation, promoting enterprise architecture best practices, and guiding customer teams through transformation initiatives.

Design and lead multi-domain cloud, data, and AI architectures for aviation operations. Translate business needs into scalable technical solutions, guide technology decisions, oversee platform integration, and provide technical leadership and mentorship to customer development teams. Collaborate with technical and business stakeholders while balancing performance, security, scalability, and cost.

Senior Business Analyst translating insurance business needs into functional requirements for AI and automation initiatives. Responsibilities include defining use cases, mapping workflows, facilitating business and technical workshops, writing user stories and acceptance criteria, conducting gap analyses, and supporting UAT. The role bridges insurance stakeholders, data and AI teams, and engineering squads while ensuring solutions meet operational, regulatory, and customer requirements.

Supports strategic governance and business operations across client experience, operational excellence, risk and resiliency, and employee engagement. Produces metrics, reports, presentations, and analysis; tracks initiatives, risks, issues, and escalations; supports strategic and transformational projects; and uses technology and AI tools to improve processes. The role requires strong organization, communication, analytical, presentation, collaboration, and prioritization skills in a hybrid environment.

Own university and early-career recruiting for the Belgrade site, including school strategy, campus partnerships, sourcing, screening, interview coordination, offers, and closing. Build intern, co-op, and new-grad pipelines; partner with engineering managers to define candidate profiles and hiring standards; maintain ATS discipline; analyze funnel data; and improve recruiting processes and candidate experience.

Lead AI transformation across Sales, Marketing, Customer Success, Partnerships, and Revenue Operations. Identify high-value opportunities, design and deploy production AI agents, agentic workflows, automations, integrations, and enterprise solutions, then drive adoption and measure business impact. Partner with functional leaders, make sound decisions about AI suitability, redesign operating models, improve reliability and governance, and mentor colleagues while establishing reusable standards across the organization.

Own product marketing for Cyara’s Agentic AI assurance products, including positioning, messaging, go-to-market launches, competitive intelligence, sales enablement, technical content, and cross-functional collaboration. The role targets enterprise buyers through sales-led motions and requires measurable pipeline impact, strong writing and presentation skills, and comfort working with technical teams. Experience in AI, contact centers, QA, testing, observability, or monitoring is advantageous.

Produces daily 60–90 second AI-generated micro-drama episodes for TikTok, Instagram Reels, and YouTube Shorts. Responsibilities include developing striking visuals, consistent characters, natural voices, audio, purposeful editing, and story-driven visual styles. The role requires prompt engineering, strong editing fundamentals, independent execution, fast delivery, and familiarity with vertical video. Experience in traditional video production, dramaturgy, end-to-end AI video creation, and short-form drama is advantageous.

Leads enterprise AI adoption programs from assessment through workshops, hands-on enablement, adoption measurement, and team self-sufficiency. Builds client relationships, develops internal AI champions, creates reusable prompts and templates, ensures compliance with data-governance and responsible-AI policies, reports business impact and ROI, and identifies expansion opportunities. The role requires practical AI fluency, strong facilitation, change-management expertise, customer success capabilities, and executive communication skills.

Designs and implements combat and non-combat NPC behaviors for a new game IP. Responsibilities include defining AI requirements, creating behavior-tree implementations, documenting NPC behavior, coordinating animation dependencies, using scripting and development tools, and communicating complex gameplay concepts. The role requires professional game industry experience, collaboration, creativity, organization, and familiarity with modern video games. AAA development and multi-engine experience are preferred.

Seeking a Senior Software Engineer to build AI inference systems. Responsibilities include optimizing GPU kernels, architecting inference stacks, and defining benchmarking methodologies. Requires strong programming skills and experience in ML systems.

Create daily 60–90-second vertical micro-drama episodes for TikTok, Instagram Reels, and YouTube Shorts using AI video, image, and audio tools. Generate scenes, edit footage in 9:16 format, maintain character consistency, synchronize music and sound effects, add captions and overlays, and optimize exports for social platforms. The role requires prompt engineering, visual composition, and editing skills, with traditional production and storytelling experience considered advantageous.

Designs and delivers production-ready Generative AI solutions, including LLM, RAG, agent, automation, and vector search architectures. The role involves cloud architecture across AWS, Azure, or GCP; AI pre-sales; client workshops; technical presentations; implementation oversight; engineering leadership; and responsible AI governance. Candidates need architecture or senior engineering experience, production AI/ML experience, cloud expertise, API and distributed-systems knowledge, ML/AIOps familiarity, and strong English and Polish communication skills.

Build and operate Kraken’s internal AI platform, including governed integrations, authentication, internal tooling, evaluation systems, spend controls, identity and access controls, provisioning, vendor configuration, and policy enforcement. Provide technical enablement through documentation, deep dives, and office hours while supporting teams and administering the enterprise AI estate.

Owns the identification, prioritization, and measurement of value from Finance AI, automation, analytics, and process-improvement initiatives. Develops business cases, ROI assessments, value-realization plans, and benefits-tracking frameworks; partners with Finance, Technology, PMO, and business stakeholders to establish metrics and guide investments. Monitors portfolio performance, savings, cost avoidance, risks, dependencies, and realized benefits while promoting consistent value-management governance across transformation programs.

Own end-to-end infrastructure delivery for strategic physical AI customers, from discovery and architecture through production rollout. Build cloud compute orchestration, platform services, onboarding environments, observability, security, and cost controls for simulation, training, inference, and batch workloads. Debug across infrastructure layers, productize recurring customer needs, and shape the physical AI platform roadmap. Partner with customers, Field CTO, Product, and Engineering while using AI coding tools to accelerate production engineering.