Top Artificial Intelligence Jobs in Romania

As a Principal Solutions Architect, you will guide customers in using GitLab's AI-powered platform, driving technical strategy and engagement across the software lifecycle while collaborating with multiple teams to enhance adoption and success.

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.

The CSM Transformation PMO Lead will manage the transformation roadmap, oversee governance across initiatives, and partner with stakeholders to ensure successful change implementation.

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.

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 Data Scientist will work on data analysis, applying machine learning and generative AI to extract insights from diverse data sources in predictive maintenance and digital twins.

The Senior AI Engineer will build and scale AI-driven solutions for tax processes, including a workflow engine and document intelligence features.

As a Customer AI Analyst, you will optimize customer accounts for AI performance, design prompts for LLMs, deliver insights, and collaborate with teams to enhance service delivery and customer engagement.

As a Customer AI Strategist, you will guide enterprise marketers in Europe through AI Marketing strategies, ensuring measurable results and driving business transformations while managing key client relationships and collaborating with internal teams.

As a Senior Platform Engineer, you'll design multi-cloud architectures, automate deployments with IaC, manage AI services, and translate business needs into technical solutions.

Design, build, and deploy generative AI solutions and APIs that integrate with data platforms. Implement RAG and prompt strategies, automate data workflows, ensure data quality and governance, and document integrations while collaborating with data, IT, and business teams.

Responsible for lead generation and qualification in the Web3 and AI sector, collaborating with business development and marketing teams to identify prospects and track progress in a CRM system.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

Design and deploy AI-powered HR solutions, integrating and automating HR workflows. Ensure compliance, governance, and drive adoption of tools among HR team members.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

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.

The Engagement Manager leads AI implementation initiatives, engaging with clients, coordinating technical delivery, managing stakeholders, and overseeing project execution from initiation to production deployment.

The role involves editing and producing narrative-driven video content using AI tools, managing entire production workflows, and ensuring visual coherence and storytelling excellence.

The AI Enablement Engineer will develop and manage AI tooling for engineering teams, ensuring effective integration and usage of AI technologies in daily work, while collaborating closely with engineering leaders.

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

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

Own outbound and inbound pipeline for AI cloud users, manage outreach automations, re-engage sign-ups, coordinate discovery and partner calls, maintain CRM hygiene, attend events, and design GTM experiments with founders and CRO.

Design and implement Generative AI and Agentic AI solutions, integrating AI models with real-world applications, and managing AI workloads in cloud environments.

Lead the design, implementation, and deployment of Generative and Agentic AI solutions, integrate LLMs and databases, and manage cloud infrastructure.