Top Artificial Intelligence Jobs in Warsaw

Lead the design, development, and industrialization of AI solutions, ensuring alignment with business needs, security, and compliance while guiding multidisciplinary teams and engaging with stakeholders.

The Head of AI Operations leads the setup and management of AI initiatives, ensuring integration with operations and business outcomes, and driving AI adoption and value realization within the organization.

Research and develop methods for large language models, build infrastructure for AI training and evaluation, and collaborate cross-functionally.

As a Lead/Staff Full Stack Engineer, you'll design and implement AI platforms, mentor engineers, and drive full-stack application development and deployment in a remote-first environment.

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 Senior AI/ML Engineer will design and deploy AI systems for business impact, lead MLOps practices, and collaborate with teams to drive AI solutions.

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

As a Technical Product Manager, you will shape product vision for AI capabilities, collaborate with engineering and design teams, manage product lifecycle, and drive prioritization to deliver scalable solutions while communicating across technical and non-technical audiences.

The Principal AI Engineer will solve high-impact problems using AI, develop end-to-end solutions, and influence technical direction across teams.

Lead the vision and execution for AI analytics in JetBrains Console, focusing on customer adoption, usage, cost, and decision-making.

The Communications & AI Enablement Specialist develops and manages communications, creates AI-powered writing resources, and ensures content quality for internal communications.

As a Communications & AI Enablement Specialist, you'll manage internal communications, leveraging AI tools to enhance writing quality, provide training, and ensure brand consistency across communications.

Lead and govern the Investor Operations AI portfolio: prioritize and deliver AI use cases, provide solution oversight (model selection, deployment), enable reuse and platform adoption, and ensure regulatory MRM compliance while partnering with engineering and data science teams.

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.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

Join Snowflake's AI R&D team as a Software Engineering Intern, contributing to AI-powered products and collaborating on innovative projects. Gain experience in ML frameworks, distributed systems, and software development best practices.

The Research Intern will work on AI-powered products, contribute to research in ML, and gain hands-on experience with AI technologies.

Design and implement agentic tools, translating product needs to production, scale prototypes, improve semantic search, build evaluation pipelines.

Own acquisition, onboarding, and activation for JetBrains AI. Improve product entry points, trials, demos, and onboarding flows. Lead experiments, analyze funnels and cohorts, remove friction, and partner with design, engineering, analytics, marketing, and monetization to drive activation and conversion.

The AI Product Owner translates business needs into agent-ready requirements, manages the product backlog, and ensures product delivery across various lifecycle stages, collaborating with engineering and architecture teams.

Hands-on COO/CTO co-founder to build an AI-powered accounting automation platform: define product architecture, build automation pipelines, design operational processes, lead a small tech and ops team, ensure reliability/scalability/compliance, and co-manage company strategy, investor communications, and resource planning.

The Technical Product Manager will define and drive AI-related product strategies, collaborating with cross-functional teams to enhance developer workflows. Responsibilities include roadmap execution, understanding user needs, and ensuring successful product launches.

Own the AI platform roadmap and build reusable capabilities (prompting, RAG, tool calling, agents, evaluation, observability). Run discovery, prioritize AI investments, partner with Product, Engineering, Design and Data, guide other PMs, define success metrics, and ensure scalable, reliable AI-powered features that deliver customer and business value.

Lead design and delivery of AI-powered features for CLion and C++ workflows. Architect AI integrations and agent tools, prototype and validate debugging, code-understanding, refactoring, and navigation workflows, build benchmarks and evaluation frameworks, and collaborate with product, ML, QA, and engineering teams to set technical direction and roadmap for AI-assisted C++ development.