Top Artificial Intelligence Jobs in Krakow

Leads Pfizer’s enterprise applied AI strategy, architecture, governance, operating model, and transformation efforts. Drives portfolio-level technical decisions, reusable capabilities, standards, and measurable business outcomes. Provides hands-on architecture and code review using modern AI and agent frameworks while leading engineers, contractors, and vendors. Oversees quality, security, performance, spending, and technical direction, mentors technical leaders, and evaluates emerging technologies and industry trends.

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.

Design, build, deploy, and optimize production-grade generative AI applications using foundation models and LLMs. Develop evaluation pipelines, RAG systems, fine-tuned models, AI agents, and datasets for financial workflows. Improve application latency, cost, accuracy, and reliability while collaborating with cross-functional teams. Preferred work includes AgenticOS patterns, multimodal models, inference optimization, LLMOps, model composition, responsible AI guardrails, and regulated financial applications.

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.

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.

Manage Oracle Financials solutions for Accounts Receivable, Accounts Payable, General Ledger, Payments, and Cash Management. Configure systems, develop test strategies, and execute documentation.

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, 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.

Lead complex, cross-functional Enterprise Technology and AI programs from planning through delivery. Develop roadmaps, resource plans, success metrics, governance frameworks, and status reporting. Align technical and business stakeholders, manage dependencies and risks, resolve blockers, and translate requirements into actionable plans. Partner with IT leadership and functions including Finance, Legal, Sales, and Product in a globally distributed, async-first environment.

Architect and build the AI layer for Neo4j’s Hume Maestro platform. Responsibilities include setting the AI technical roadmap, contributing hands-on to production code, designing scalable AI architectures, establishing model evaluation and deployment practices, integrating AI with front-end and platform systems, and collaborating with Product and Science stakeholders. The role may eventually evolve into leading and mentoring a dedicated AI engineering team.

Lead global marketing and corporate communications to define Multiverse's narrative, positioning, and GTM for AI/quantum products. Partner with the CEO, build and scale the marketing & communications team, own product messaging, PR, executive positioning, agency relationships, and measure impact on awareness and enterprise pipeline.

Translate and localize content between Polish and Lithuanian, preserving cultural nuance, accuracy, tone, and contextual relevance. Edit language content, apply terminology standards, provide structured feedback to improve language models, and support quality assurance for digital tools and applications. Collaborate with production and cross-functional teams as an independent contractor with flexible scheduling and project-based availability.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

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.

Owns commercial success, revenue, and strategic relationships for embedded HR technology partners. Responsibilities include managing a $10M+ annual bookings target, developing partner sales motions, enabling partner sellers, driving pipeline and ARR growth, resolving commercial issues, leading executive business reviews, expanding partnerships, coordinating cross-functional teams, and managing partner account managers and embedded sales leads.

Lead a cross-functional squad to define product vision, roadmap and deliver new features for institutional English assessments. Translate business needs into requirements, write and prioritize epics and user stories, run agile ceremonies, collaborate with UX/development/marketing/operations, use data to iterate, and mentor colleagues to achieve measurable business outcomes.

Leads digital transformation across procurement by implementing and optimizing SAP, Coupa, ERP, e-sourcing, and supplier management technologies. Oversees data governance, integration, process improvement, category and spend analytics, supplier performance monitoring, and cross-functional project delivery. Evaluates emerging capabilities such as AI and RPA, manages stakeholder relationships, mentors team members, and drives procurement technology innovation and operational efficiency.

Build Solidgate’s new ML/AI function, developing production machine learning models, recommendation systems, and real-time transaction-routing decision systems. Own experimentation from ideation through A/B testing and deployment, engineer features from high-cardinality transactional data, integrate emerging AI technologies, and collaborate with Product, Engineering, and Data Platform teams on training and analytics pipelines.

Lead management and optimization of Crayon and Clozd platforms, integrate them with CRM and sales enablement systems, drive cross-functional adoption, execute win-loss programs, monitor platform metrics, and deliver actionable competitive and buyer insights to improve win rates and product roadmaps.

Owns planning, activation, optimization, testing, budgeting, and reporting for paid campaigns across TikTok, Meta, and YouTube. Manages $1M+ budgets, presents data-driven recommendations to clients, tracks platform changes, and partners with strategy and creative teams. The role also mentors a Paid Media Executive and establishes team standards for campaign QA, reporting, naming conventions, and optimization practices.

Own the AI agenda across Customer Operations by identifying, implementing, monitoring, and optimizing AI features such as chat and email agents. Manage multiple concurrent projects, align stakeholders, translate operational pain points into automation opportunities, and improve processes across Customer Support and Payments, Fraud & Verification. Track post-launch performance, resolve issues, and drive continuous operational excellence through analytical, creative, and cross-functional problem-solving.

Own a core construction software product area from customer problem through measurable outcome. Responsibilities include customer discovery across construction sites and commercial teams, product strategy and roadmap ownership, prioritization, AI feature development and evaluation, human-in-the-loop design, stakeholder communication, and raising product-management capability. The role partners closely with engineering, design, consultancy, growth, and customer success teams while driving adoption and business impact.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.