Top Artificial Intelligence Jobs in Warsaw

The Senior CyberSecurity AI Engineer will design, deploy, and support endpoint security solutions, leveraging AI/ML for threat detection and organizational collaboration.

Lead the development of an AI-powered product, designing architecture, creating conversational experiences, and shaping team standards while collaborating on product strategy.

The Senior AI Engineer will design and build intelligent conversational systems, develop ML/NLP products, lead technical decisions, and mentor other engineers in a collaborative and innovative environment.

The role involves managing AI projects to enhance customer service and sales, ensuring effective communication among stakeholders and delivering measurable business value through AI solutions.

As the AI Agents Solutions Architect at Kraken, you'll design and build an AI-native finance operating system, automating finance operations and ensuring compliance in a regulated environment.

The Senior AI Engineer will develop an enterprise-grade Agentic Framework for automating production lifecycles in heavy industries, ensuring quality and scalability while leading from design to implementation.

The role involves managing an AI-driven automation program, coordinating between engineering and third-party teams to optimize workflows and integrate AI solutions.

The Senior Python AI Software Engineer will design and build applications using Python, work on diverse projects, and collaborate with clients to translate requirements into innovative digital products.

Design, develop, and deploy scalable AI/ML solutions for healthcare and operations. Own end-to-end pipelines, build conversational AI and computer vision systems, optimize automation, ensure production performance and reliability, and collaborate with product and engineering stakeholders.

Lead the architectural direction for Generative AI initiatives, establish CI/CD pipelines, mentor engineers, and drive AI experimentation for logistics solutions.

The Senior Agentic AI Engineer will develop cutting-edge GenAI solutions, design high-performance AI modules, and ensure system integration while leading cross-functional teams.

The role requires reviewing and evaluating AI-generated outputs and original content while applying local insights and maintaining quality standards. Strong analytical skills and attention to detail are necessary.

Manage deployment, reliability, and operations of the Voice AI product, ensuring smooth production and operational quality through improved infrastructure, automation, and observability standards.

The Commercial AI Solutions Analyst will collaborate with teams to implement AI initiatives and ensure data quality for business insights. Responsibilities include data validation, user acceptance testing, and promoting AI literacy within sales.

Conduct applied AI/ML research to solve home design challenges, work with raw data, test hypotheses, and build prototypes/MVP solutions.

The Senior AI Vertical Mini-Series Director will manage the production of mini drama series, directing and editing episodes while collaborating with AI Content Creators and tech teams.

Design and implement full-stack applications and AI agents. Collaborate with teams to deliver customer-focused solutions while ensuring secure and reliable development practices.

The Principal Test Automation Engineer will design and implement testing strategies, apply AI tools for quality, enforce testing standards, and integrate testing into CI/CD processes.

The AI Engineer Tech Lead will drive technical development of a Graph AI platform, improving the relationship graph and building AI-driven systems.

As a Staff Backend Engineer, you will architect AI infrastructure for automation, enhancing customer support with resilient systems and cross-org technical leadership.

Design and implement full-stack applications and AI agents while mentoring engineers and leading project ownership, focusing on rapid development and deployment of AI capabilities.

As a Senior SecOps Engineer, you will design and operate security controls across products, manage IAM, oversee data governance, and lead incident response and vulnerability management within cloud environments.

Lead engineering excellence for Digital Assets and AI initiatives, ensuring architectural consistency, risk management, and continuous improvement in engineering practices.

The Ecosystem Growth Manager will drive the onboarding of GPU providers, AI builders, and strategic enterprise partnerships to enhance the AIVM ecosystem, addressing Web3 challenges and establishing a decentralized infrastructure.

Responsible for lead generation and qualification in the Web3 and AI sector, collaborating with business development and marketing teams to identify prospects and track progress in a CRM system.