Top Artificial Intelligence Jobs in Warsaw

As an AI Engineering Lead, you will drive AI operational strategies, manage teams, and ensure the integration of AI technologies into processes.

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.

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.

The position involves managing regulatory submissions, collaborating on eCTD strategies, ensuring timely progress on submissions, and continuous improvement of submission processes.

Manage regulatory activities for clinical trial submissions, ensuring compliance with global health authority standards. Collaborate with stakeholders to prepare submission documents, track progress, and communicate regulatory changes.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

The Operational Risk Review Analyst executes testing activities to evaluate processes and controls in areas like Technology and Cyber Security, collaborating with various teams to support risk management efforts.

Lead design and implementation of AI and computer vision algorithms for robotics using ROS. Consult on system architectures, perform research, translate imaging algorithms to robotics platforms, and develop tools for production AI/ML and ROS deployments.

QA / AI QA Tester responsible for designing test suites and evaluation datasets for LLM/agent systems, performing response quality, PII/compliance, guardrail, performance, integration and UX testing, analyzing telemetry, documenting results, and supporting AI/domain teams on defects and data drift.

Lead design and evolution of AI agent architecture (Master Agent + domain agents) across Copilot Studio, Azure and multicloud. Define integrations, knowledge layers, conversational UX, LLMOps, security, performance, and quality metrics. Collaborate with DevOps, Security, AI/ML engineers and domain owners to implement standards, compliance, monitoring, and continuous improvement for enterprise knowledge management.

Design and enhance the user experience for an LLM-based productivity tool, collaborating with cross-functional teams and utilizing user feedback.

The role involves analyzing data for AI insights, developing reports, identifying trends for strategic decisions, and collaborating with AI engineers to enhance AI applications in finance.

The ORR Technology Lead Analyst executes testing activities for risk assessments, collaborates with business lines, identifies control weaknesses, and prepares documentation on compliance and operational risks.

The role involves shipping full-stack AI projects, designing experiments for AI features, and optimizing AI infrastructure while collaborating with teams.

As an AI Consultant, you will advise banking clients on AI/ML solutions, support model design, ensure compliance, and assess data quality.

The Senior Business Analyst will facilitate requirement gathering, document business needs into clear requirements, support pre-sales, and contribute to project delivery.

The role involves developing software for ML engineering, enhancing data scientist tools, and implementing software development best practices, especially in Python and ML algorithms.

Lead end-to-end product management for the Student Assistant AI product: define vision and roadmap, coordinate cross-functional teams, manage discovery to launch, prioritize backlog, run Scrum rituals, and use analytics, experiments, and user research to optimize outcomes while ensuring ethical AI and data privacy.

As a Senior Full-Stack Engineer, you will design and build scalable systems across the stack, focusing on backend development, and integrating AI into workflows. You'll take ownership of features, collaborating with teams to ensure high availability and performance.

As a Senior Full-Stack Engineer, you will design and maintain scalable systems with 70% backend and 30% frontend focus, integrating AI into workflows.

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 Senior Product Marketing Manager, AI will lead product marketing for AI capabilities at Circle, focusing on messaging, adoption strategies, and customer education.

The AI Platform Engineer will build infrastructure to evaluate and improve AI systems, focusing on observability, diagnostics, and enhancement of performance.