Top Artificial Intelligence Jobs in Krakow

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

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

Assist air passengers with claims by communicating through email, chat, and social media, and utilizing legal knowledge for guidance.

Assist customers with claims related to delayed or cancelled flights, providing support through various communication channels and utilizing legal knowledge to offer assistance.

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.

Lead storytelling and communications for Pfizer's AI-native engineering transformation: set strategy, create content and live events, manage budgets and agency relationships, build cross‑functional engagement, track success metrics, and lead a storytelling team to translate engineering work for executives and broader audiences.

Lead R&D projects to create mathematical models and numerical simulations for power grid reliability and stability with high renewable penetration. Develop, implement and validate simulation algorithms, collaborate globally, integrate optimization/ML methods, prototype solutions, publish results, and work with external partners.

Serve as a strategic finance business partner to regional sales leaders, driving commercial rigor across bidding, contracting, forecasting, and profitability. Deliver financial planning, data-driven insights, risk management, compliance support, and cross-functional reporting while supporting systems and credit management.

Lead EMEA Employee Relations, Labor Relations, and HR Generalist services. Define regional strategy, manage Works Council and union relationships, oversee investigations, optimize hybrid service delivery, drive transformation, implement data-driven tracking and AI-enabled insights, and partner with HR COEs and business leaders to support M&A and growth.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.

Work with traders, asset operators, and developers to analyze electricity market outcomes, improve trading and operational strategies, and drive customer success. Translate market workflows into product requirements, collaborate with engineering to enhance analytics, dashboards, and optimization models, and lead customer onboarding, implementation, and ongoing technical account management.

Lead architecture and delivery of an agentic AI framework: design and productionize agent components (planning, tool-use, memory, safety), provide SDKs/APIs and reference implementations, mentor engineers, drive cross-team alignment, and ensure reliable, scalable, customer-facing agent-based systems.

Lead a cross-functional engineering team to build and evolve an Agentic AI framework integrating location intelligence and customer workflows. Own core framework delivery, ensure engineering quality, partner with product and platform teams, and embed AI-assisted workflows to boost productivity.

Lead design and implementation of automated testing and evaluation pipelines for agentic AI logistics systems. Build scenario simulations for routing, time windows, capacities and geospatial edge cases, validate integrations with HERE and external APIs, generate synthetic test data, incorporate statistical validation for non-deterministic LLM outputs, and integrate tests into CI/CD while collaborating with engineers and domain experts to find and mitigate failure modes.

The role involves providing employee relations guidance, handling grievances and investigations, maintaining HR data integrity, and leveraging AI tools to improve processes.

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

Paid multi-month internship working with databases, building data pipelines and warehouses, analyzing and visualizing data, reporting results to stakeholders, and collaborating with team members to learn and grow in data engineering, analytics, and AI.

The AI Content Expert II creates and annotates complex training data for LLMs, ensuring quality and producing text across various styles. Responsibilities include auditing work, making independent decisions, and collaborating with scientists and engineers for data quality improvement.

Define and operationalize ontology- and knowledge-graph-driven governance for Data & AI platforms. Design semantic layers, business glossaries, taxonomies, and metadata-driven governance. Collaborate with architects, engineers, InfoSec, compliance, and AI teams to embed Agentic and Responsible AI governance, lead client workshops, and shape enterprise-scale data governance solutions.

The AI Engineer will design, build, and deploy AI solutions, focusing on LLM applications and automation while collaborating closely with clients to provide impactful AI-driven solutions.

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.

Lead AI strategy and architecture for an AI-native data integration platform: select LLMs, design RAG/agentic systems, build transformation generation and validation features, implement model ops and monitoring, and define responsible, auditable AI practices while remaining hands-on and managing an AI engineering team.

Lead design and delivery of ML solutions for perception, prediction, and planning for assisted and automated parking. Define CV and multimodal sensor-fusion approaches, drive architecture from data pipelines through deployment, establish evaluation metrics, mentor engineers, and collaborate with global teams to improve algorithms and production performance.

Design and optimize ML models for perception, prediction, and planning in automotive parking systems. Build computer-vision and multi-sensor processing solutions, trajectory forecasting, training/evaluation pipelines, analyze large datasets, validate models in real-world scenarios, and collaborate with software, systems, and product teams to improve algorithms and tools.