Top Artificial Intelligence Jobs in Naples

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.

The VP Analyst leads Gartner's AI strategy, creating insights, conducting analysis, advising clients, and mentoring team members. They engage with clients to address market trends and challenges.

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 AI advisory practice by managing client relationships, driving growth, developing strategies for implementation, and ensuring successful delivery outcomes while mentoring team members.

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.

Senior technical sales specialist driving GTM for Red Hat AI across Italy/EMEA: consults on Data Science, Predictive and Generative AI solutions, enables sales and partners, coordinates cross-functional product and engineering feedback, builds cloud/partner relationships, and supports account planning and competitive deals.

Lead the design strategy for Deel's AI vertical, overseeing design for AI products, enhancing user experiences, mentoring designers, and driving cross-team collaboration.

Looking for a Mid/Senior AI Cinematic Video Editor to create narrative-driven video content using AI. Responsibilities include end-to-end production workflows and use of AI video tools like ComfyUI and Stable Diffusion.

Create high-performing video ads for digital platforms, manage the editing process from concept to post-production, and collaborate with teams to optimize video content using AI tools.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

As a Customer Support Expert, you'll assist brands by offering customer support via social media and email, responding to inquiries, and ensuring positive customer experiences.

The AI Engineering Manager will build and lead a high-performing team focused on AI agents, workflow orchestration, and navigating evolving technology, ensuring clarity and delivering impactful results.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

Lead AI architecture and implementation for financial services clients: support business development, enable and manage engineering teams, design scalable LLM/multi-agent systems, ensure AI safety, compliance, and monitoring, and translate business needs into technical specifications.

The Tech Lead Engineering, AI is responsible for shipping features quickly while maintaining quality by leveraging AI tools for development. They collaborate with cross-functional teams, make technical decisions, and ensure robust product delivery from design to deployment.

The Founding Fullstack Engineer will develop and ship end-to-end product features across frontend and backend, optimize user experience, and integrate AI capabilities while ensuring system performance and scalability in a fast-paced startup environment.

The Backend Engineer will build and scale backend services and APIs, improve system performance, and design scalable architectures in a collaborative environment using AI coding tools.

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

The Back-End Engineer, AI develops robust backend solutions using AI tools, collaborates with teams, and ensures high-quality product delivery while maintaining coding standards and performance optimization.

The AI Architect will develop and implement enterprise AI strategies, architect solutions, lead AI initiatives, and foster cross-functional collaboration to enhance HBK's digital landscape, ensuring compliance with responsible AI standards.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.