Top Artificial Intelligence Jobs in Italy

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

The Senior AI Technical Product Owner collaborates with teams to bridge vision and execution, managing backlogs, technical decisions, and mentor roles in agile settings.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

As an AI Research Engineer, you will develop multi-modal reinforcement learning systems, focusing on optimization across data modalities, conducting research on algorithms, and building infrastructure for scalable training and evaluation.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

As an AI Research Engineer, you will optimize model serving and inference architectures, focusing on high-performance, resource-efficient solutions for AI systems across various deployment environments.

As an AI Research Engineer, you will innovate in model compression techniques for large multimodal AI systems, focusing on efficiency and model deployment.

As an AI & Data Manager, you'll modernize AI capabilities, manage product delivery, define best practices for self-service analytics, and strengthen data governance frameworks.

The Solutions Architect will engage in AI technology projects, providing technical expertise, collaborating with teams, and advocating for customer needs within F5's AI solutions.

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

As an AI Research Engineer, you'll optimize model serving and inference for AI systems, focusing on efficiency and scalability across dynamic applications. Responsibilities include designing architectures, conducting inference tests, diagnosing performance bottlenecks, and collaborating with teams to ensure high-performance AI deployment.

Lead the development of an AI-powered product, designing architecture, creating conversational experiences, and shaping team standards while collaborating on product strategy.

The AI Legal Specialist will manage compliance with global AI and e-commerce laws, focusing on data protection, contracts, and legal assessments in a rapidly growing AI platform.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

This role involves defining AI safety measures, governance patterns, and privacy guidance. You'll enhance the AI platform, ensuring safe and efficient product deployments.

The Senior AI Engineer will design and enhance shared AI platform capabilities while ensuring reliability and production readiness. The role requires collaboration on system architecture, building reusable components, and mentoring other engineers in AI development practices.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

The Senior AI Developer will refactor a prototype into a multi-agent system, design orchestration and communication logic, implement guardrails, integrate APIs, and optimize performance while collaborating with teams for robust design.