Top Artificial Intelligence Jobs in Warsaw

The Communications & AI Enablement Specialist develops, executes, and manages internal communications while creating AI-powered resources for improving written communication quality.

The role involves drafting, editing, and managing communications materials while leveraging AI tools to enhance communication quality within the organization. The specialist will train staff on AI resources and maintain editorial standards.

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

The role involves crafting high-quality, narrative-driven video content using AI tools, managing end-to-end video production, and maintaining character consistency in AI-generated outputs.

Manage multilingual data collection and Large Language Model evaluation projects, ensuring quality assurance and effective global team coordination.

Lead the development of AI agents for data analysts, focusing on automation, governance, and performance evaluation while collaborating with stakeholders.

As a Fullstack AI Engineer, you'll develop scalable backend features, integrate APIs for AI, manage AI workflows, and optimize model performance using Ruby on Rails and TypeScript.

As a Senior AI/ML Engineer, you will design ML solutions, create datasets, architecture improvements for AI agents, and contribute to MLOps practices.

The AI Adoption Manager will implement AI solutions, automate processes, and train teams to enhance efficiency and productivity across the organization.

Design and develop AI-powered applications, collaborate with teams to translate business needs into technical solutions, and implement MLOps workflows.

Design and deliver AI agent ecosystems, collaborate with teams on business goals, and provide mentorship while staying current with AI advancements.

Own lifecycle marketing campaigns across email, push and in-app channels: write copy, build automated customer journeys and behavioral triggers, run A/B tests, analyze performance with product analytics, and work with Product and Tech to optimize activation, retention and monetization.

Design and maintain AI infrastructure, develop APIs, collaborate with product teams, and improve AI features while utilizing tools throughout the development lifecycle.

Lead and mentor a team of Applied AI Engineers, oversee AI project lifecycles, and collaborate cross-functionally to enhance AI solutions and customer engagements.

The Lead People Operational Excellence Consultant will define and execute an AI strategy to enhance HR service delivery through automation and efficiency improvements while ensuring compliance and driving a culture of innovation.

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.

Build and maintain AI-powered internal tools and agentic workflows for operations. Ship rapid iterations (multiple daily releases), integrate third-party APIs, own QA, and translate ops feedback into production deployments.

The AI Engineer will develop and maintain AI infrastructure, implement ML solutions, curate datasets, and collaborate with teams to enhance products.

The AI Creative Designer creates high-quality, AI-generated visuals for marketing campaigns, collaborating with teams to optimize visual content for conversion rates.

Edit and produce high-performing marketing videos, collaborate on concepts, optimize content for various platforms, and leverage AI tools for enhanced creativity.

The AI Go-to-Market Engineer will deploy and optimize AI systems across revenue operations to enhance productivity, pipeline generation, and minimize churn, reporting directly to the CEO.

Lead the design and deployment of AI/ML solutions, managing multiple initiatives and mentoring technical teams to ensure production-ready models.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.