Top Artificial Intelligence Jobs in Naples

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.

As a Strategy Manager, you will lead research and analysis, contribute to strategic programs, collaborate with teams, and drive actionable insights for growth.

Provide hands-on deployment, debugging, benchmarking, and optimization of large-scale AI training and inference workloads on NVIDIA GPU clusters. Work with customers and internal teams to identify bottlenecks, improve efficiency, and scale workloads reliably while contributing to resilience features for sovereign AI initiatives across Europe.

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

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.

Lead strategy, production, and commercial performance for owned casino games. Own roadmap, vendor management, end-to-end production, RTP/volatility strategy, live operations, and post-launch performance.

Lead the LLM team by architecting and managing AI model development, focusing on large-scale conversational intelligence and nuanced moderation strategies.

Design and build Python-based AI applications, optimise performance and storage, implement CI/CD and testing, collaborate with clients and distributed teams, and support technical leads to deliver scalable, production-grade solutions.

The Junior/Mid AI Compliance Specialist will manage compliance workflows, oversee contracts and data protection laws, and collaborate closely with the Ethics and Compliance Officer to ensure legal adherence in AI and e-commerce.

The Senior Director leads AI transformation in procurement, creating research content, offering actionable insights, and collaborating to drive strategy and change management.

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.

The VP Analyst will provide insights on AI and application services to C-level clients, conduct research, develop content, and deliver strategic advisory sessions. They will leverage broad industry experience and technical knowledge in AI technologies and application stacks.

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 role involves developing and delivering workshops on AI tools, supporting the adoption of AI across ABB, and managing training on AI concepts and change management.

The Senior Agentic AI Engineer will develop cutting-edge GenAI solutions, design high-performance AI modules, and ensure system integration while leading cross-functional teams.

The Senior Agentic AI Engineer will design and deploy GenAI solutions, integrating intelligent agent services, leading AI research, and enhancing code quality to transform global logistics.

The role involves developing sophisticated LLM-powered autonomous agents, integrating intelligent services, and ensuring systems' scalability and reliability. Responsibilities include architecting AI modules, leading agile sprints, and monitoring production lifecycle with CI/CD roles.

Lead technical initiatives for Generative AI in logistics, design architecture, implement evaluation pipelines, and mentor engineers.

Lead the architectural direction for Generative AI initiatives, establish CI/CD pipelines, mentor engineers, and drive AI experimentation for logistics solutions.

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.

Lead company-wide AI and automation adoption: run internal programs (hackathons, enablement, dogfooding), conduct AI market watch, produce guidance and content, evangelize successes, and manage and scale the Automation team while overseeing cross-functional delivery and OKRs.

Design and maintain backend services, build React interfaces, architect AI-powered pipelines, and ensure performance of async data processing. Collaborate with teams and set best practices.