Top Artificial Intelligence Jobs in Romania

The role involves overseeing multiple projects within the EPMO, driving project delivery, coaching leaders, and integrating AI solutions while ensuring alignment with enterprise objectives.

Partner with customer Analytics/BI teams to implement data integrations, build reusable pipelines and APIs, configure ML models, advance reinforcement-learning pipelines, and drive BrazeAI product adoption and customer success.

As a Product Designer, you will identify business problems, conduct user research, create elegant user interfaces, and collaborate with teams to transform concepts into successful designs.

The Account Executive is responsible for the full sales cycle for enterprise accounts, developing business opportunities, and closing deals, particularly in cybersecurity.

The Chief Data & AI Officer will lead the establishment of a company's data and AI infrastructure, ensuring reliable information capture, decision-making processes, AI system integration, and compliance with governance standards.

Lead end-to-end delivery of iGaming features, coordinating Product, Development, QA, and Marketing. Manage timelines, resources, risks, third-party integrations, stakeholder communication, and continuous improvement through post-mortems to ensure timely, high-quality releases.

Develop and optimize AI solutions by refactoring prototypes, designing multi-agent architectures, and integrating APIs while ensuring performance and system observability.

The No-Code Systems Automation Engineer will design, build, and maintain automation workflows using GoHighLevel and either Zapier or n8n, ensuring reliability and performance through error handling and monitoring practices.

The AI-Native Engineer will design intelligent systems for an AI-native ecosystem, streamline workflows, and collaborate on innovative solutions in software engineering.

The Industry AI Consultant Engineer will design and implement AI solutions, lead workshops to define use cases, and collaborate with cross-functional teams to deliver AI products.

The role involves identifying project needs, designing and integrating robotic automation solutions, and ensuring timely delivery while supporting troubleshooting and compliance.

The role involves testing and debugging AI clusters, maintaining hardware, and collaborating with development teams to resolve issues across networking components.

The AI Software Engineer designs AI-enhanced applications using AWS and .NET, focusing on scalable systems and content orchestration.

The Principal Data Product Manager will lead ML and AI initiatives, define strategies, manage product roadmaps, and collaborate with teams to deliver scalable solutions that drive business outcomes.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

Applied AI Engineers will define and deliver AI systems for clients, shape AI visions, build products, and advance the core product using real-world data.

The Quality Manager oversees supplier performance for AI projects, ensuring quality, on-time delivery, and compliance with client requirements through strategic alignment, performance monitoring, and process improvements.

The Principal AI Engineer develops generative AI solutions, collaborates with clients to understand needs, and prototypes AI models to tackle business challenges.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The Senior Product Manager will drive the development of an Application Performance Automation (APA) platform, ensuring product-market fit and collaboration with various teams. Responsibilities include managing beta customer feedback, defining the product roadmap, and tracking product metrics while advocating for user needs.

As a Principal AI Engineer, you will design AI solutions, lead R&D for explainable AI, mentor junior engineers, and collaborate across teams.

As a Legal Engineer, you'll design and implement AI-powered legal workflows, engage clients to optimize legal processes, and enhance product feedback for continuous improvement.

The role involves independently creating and implementing UI solutions, translating product requirements into intuitive interfaces, and using AI tools to enhance design and prototyping.

The position requires leading the design and implementation of AI and automation solutions, ensuring alignment with enterprise architecture standards and driving digital transformation in banking.