Top Artificial Intelligence Jobs in Warsaw

The AI Engineering Team Leader is responsible for collaborating with clients to develop custom solutions and technology products, promoting cross-functional skill development and internal mobility within ZS.

As an AI Engineering Lead, you'll shape AI operations, develop strategies, mentor a team, and integrate AI technologies into operations for impactful outcomes.

Manage end-to-end regulatory activities for submissions, ensuring compliance with global health authorities, and drive continuous improvement in processes.

The Manager, Submission Management Clinical Trials oversees regulatory activities for clinical trial submissions, collaborating with stakeholders to ensure compliance and drive continuous improvement initiatives.

Lead the coordination and authoring of regulatory documents for submissions and approvals, ensuring integration of scientific and regulatory input from cross-functional teams.

As an AI Operations Engineer, you will design and maintain AI pipelines, ensure deployment of AI models, and mentor junior engineers.

As a Senior AI Operations Engineer, you will design, implement, and optimize AI pipelines, ensuring smooth model deployment and team mentorship.

The Senior Specialist in Global Submission Management oversees regulatory submissions, collaborating with stakeholders, tracking progress, and enhancing processes for compliance and efficiency.

The Manager of Submission Management leads regulatory activities for projects, oversees eCTD submissions, and drives continuous improvement initiatives while collaborating with stakeholders and teams.

The Senior Specialist supports regulatory activities for clinical trials, ensuring compliance with submission requirements, engaging stakeholders, and managing documentation processes while promoting improvements and efficiencies in submission management.

As a Senior Solution Architect, you will design solutions for Roche's quality and compliance systems, lead complex problem solving, and drive technology adoption to enhance business processes.

Lead a team in developing cloud-native applications and driving AI integration. Oversee software development, manage budgets, and stay updated on technology trends.

As DICE Innovation Lead, drive digital transformation by identifying and developing technology opportunities, collaborating with stakeholders, and executing innovative solutions.

Evaluate AI-generated coding interactions, assess quality of engineering judgments, provide feedback, and define standards for AI coding agents. Comfortable making subjective judgments about engineering quality.

The Engagement Manager leads AI-driven initiatives, coordinating client engagements, overseeing implementations, and ensuring successful onboarding of AI solutions across diverse environments.

As a Software Engineer, you will develop AI workflows and automation solutions, integrate enterprise data, and create reusable templates to accelerate application development. You will also build Proof-of-Value applications and provide guidance to teams on a modern AI platform.

The AI Playable Ads Developer will create interactive ads, optimizing them for user experience while collaborating with various teams to enhance AI-based tools.

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

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.

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.

Develop and enhance a platform for supply chain transparency using advanced technologies while ensuring trust and authenticity in global supply chains.

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

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

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.

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.