Top Artificial Intelligence Jobs in Hungary

As an AI Implementation Specialist, your role is to build and deploy AI agents, collaborate with teams, and improve automation solutions to enhance operational efficiency.

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

Lead manufacturing and supply operations in European hubs, ensuring service delivery and quality processes while managing large teams and relationships across departments.

The QMS Solution Business Expert drives quality transformation via process design and digitalization in the M&S Quality Digital Solutions team, ensuring compliance and efficient use of Quality Management Systems across projects.

The Regional Technical Director leads the PMC technical team, drives growth through product development, and ensures safety and compliance with corporate policies.

The role involves leading digital transformation in quality operations, designing compliant solutions, managing projects, and ensuring data quality and compliance in pharmaceutical environments.

As a Senior IT Manager, oversee technology initiatives, digital transformation, and IT services while collaborating across teams and managing stakeholder relationships.

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.

As a Global HR Content Specialist, you'll curate and optimize HR knowledge content in ServiceNow, ensuring accuracy and alignment with global standards while enhancing self-service solutions.

Lead design, build, and deploy scalable microservices and AI-driven contact automation for the Wise Assistant. Own intent detection, contact pipelines, routing logic, integrations with LLMs and AI agents, performance optimization, and mentor engineers to improve customer support automation.

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

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

The Lead Product Designer for Applied AI will design AI-native experiences and collaborate with engineering to create innovative product workflows. Responsibilities include defining AI interaction patterns, prototyping user flows, and ensuring product usability.

Develop and maintain automation frameworks for IMS system verification, utilizing cloud-native environments and Python for building tools and services.

Lead implementation of AI solutions, manage vendor relationships and compliance, conduct market research, and evaluate data privacy regulations.

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.

Lead client relationships by integrating strategic sales, ensuring project success, and identifying new service opportunities. Act as primary Engagement Manager overseeing project delivery and governance.

As a Senior Engineer, you'll design scalable architectures, integrate AI features, mentor team members, and ensure product security and observability. You will also build and manage complex backend applications using JVM technologies and improve AI reliability.

The AI Solution Architect will design AI and ML solutions, oversee pre-sales processes, create project estimates, and validate proposals, ensuring technical accuracy and client engagement.

The Senior Frontend Engineer will design and develop a leading AI/ML platform, collaborating closely with various teams to enhance functionality and performance.

Lead a team of engineers to enhance the Web SDK and backend services, focusing on design, AI integration, and collaboration. Ensure successful outcomes and mentorship within the team.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

The Senior Software Engineer - AI will design and develop AI-driven applications, integrate machine learning models, and collaborate with cross-functional teams to implement intelligent features for business challenges.