Top Artificial Intelligence Jobs in Romania

Lead design, development, and deployment of scalable, ethical AI agents and multi-agent systems. Architect integrations, automation workflows, and MLOps pipelines on cloud platforms. Drive technical strategy, mentor engineers, define KPIs, ensure observability and operational excellence, and collaborate across product, data, and UX to deliver enterprise AI solutions.

The role involves designing and deploying AI systems for clinical operations, developing models for decision-making, and ensuring AI implementation aligns with data governance standards. Responsibilities include collaborating across teams, enhancing operational efficiency, and advancing AI applications in a regulated environment.

Lead enterprise-wide applied AI strategy, system-level architecture, and operating-model design. Direct mixed teams (engineers, contractors, vendors), set governance/standards, and stay hands-on for architecture and code review. Ensure AI investments deliver measurable business outcomes, reusable capabilities, and coherent, secure solutions at scale.

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.

Own partnership sourcing, negotiation, and deal execution to drive adoption of Walrus across AI and Web3 ecosystems. Build relationships with AI builders, data vendors, compute networks, and web3 partners; lead contract negotiations; and manage cross-functional integration from signing through execution.

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

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The VP of Business Development will drive commercial growth in Europe, focusing on strategic opportunities with renewable energy stakeholders and building relationships to enhance market presence.

The Information Risk Specialist is responsible for overseeing IT and operational resilience risks, ensuring risk frameworks are implemented, and driving a strong risk culture within ING Hubs Romania.

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 Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

The AI Video Editor / Motion Designer creates AI-driven video content for various platforms, optimizing for conversion rates through storytelling and technical skills in video editing and AI tools.

The AI Video Editor / Motion Designer creates AI-driven videos to enhance advertising effectiveness. Responsibilities include video production, concept development, utilizing AI tools, performance analysis, and collaboration with team members.

The Generative AI Design Specialist creates photorealistic visuals for marketing, leveraging AI tools and workflows while conducting visual trend analysis and quality control.

The Generative AI Design Specialist will create high-fidelity AI-generated visuals for marketing campaigns, ensuring consistency and adherence to brand guidelines. Responsibilities include designing workflows, analyzing trends, training models, maintaining quality control, and developing best practices. Collaboration with production teams is key.

As a Senior Technical Product Manager at LumiMeds, you will lead the development of AI-powered healthcare products, optimize e-commerce and clinical workflows, and ensure technical and commercial success of the platform.

The AI Infrastructure Engineer will build and manage scalable model serving infrastructure for AI/ML applications, ensuring high efficiency and reliability in production.

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.

Design, build, and deploy machine learning models. Develop AI workflows using various frameworks, and optimize data processing on AWS.

The role involves developing AI-powered applications, contributing to both MCP servers and React frontends, driving technical initiatives, and ensuring collaboration for integration.

Lead technical direction and mentorship in AI engineering, develop end-to-end AI applications, and architect AI-driven systems using advanced technologies.

Build and maintain enterprise web applications using .NET and Angular, participate in full SDLC, integrate AI services and APIs, leverage AI-powered development tools and LLM/RAG solutions, contribute to architecture and technical decisions, collaborate with clients and delivery teams, and ensure compliance with enterprise/regulatory standards.

Design, build, and operate the infrastructure and platform services that power AI agent workflows in production. Ensure reliability, scalability, observability, and security of model-serving, orchestration, and compute layers. Build APIs, SDKs, IaC (Terraform), CI/CD pipelines, monitoring and incident-response processes, and collaborate with AI, data, and engineering teams to productionize agent prototypes.

Design, build, and deploy production-ready ML and Generative AI solutions. Develop LLM-powered applications, RAG pipelines, and vector-database integrations. Implement APIs, cloud deployments (Azure/AWS/GCP), monitoring, and basic safety guardrails. Collaborate with cross-functional teams to deliver reliable, performant AI services.