Top Artificial Intelligence Jobs in Italy

Architect and build the AI layer for Neo4j’s Hume Maestro platform. Responsibilities include setting the AI technical roadmap, contributing hands-on to production code, designing scalable AI architectures, establishing model evaluation and deployment practices, integrating AI with front-end and platform systems, and collaborating with Product and Science stakeholders. The role may eventually evolve into leading and mentoring a dedicated AI engineering team.

Lead global marketing and corporate communications to define Multiverse's narrative, positioning, and GTM for AI/quantum products. Partner with the CEO, build and scale the marketing & communications team, own product messaging, PR, executive positioning, agency relationships, and measure impact on awareness and enterprise pipeline.

Lead product development for Sphere, defining vision and roadmap, prioritizing features, working with engineering, research, and design, applying agile practices, and ensuring strong user experiences and stakeholder communication for an AI-driven investment platform.

Design and implement server-side logic and RESTful APIs, manage MongoDB and Redis databases, ensure security and performance, contribute to system design and architecture, review code and scope deliverables, collaborate with Product and Client Success, and maintain documentation.

Build Python-based backend services, APIs, and integrations that embed AI capabilities into a SaaS platform. Develop scalable customer-facing features, connect AI outputs to workflows and dashboards, collaborate with product, design, and platform teams, and implement observability, monitoring, and error handling. Contribute to the AI integration stack, including SDKs, MCP servers, and LLM orchestration.

Join Welo Data’s global contributor network for flexible, remote AI projects. Depending on skills, contributors may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with compensation and requirements provided before each assignment.

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.

Owns commercial success, revenue, and strategic relationships for embedded HR technology partners. Responsibilities include managing a $10M+ annual bookings target, developing partner sales motions, enabling partner sellers, driving pipeline and ARR growth, resolving commercial issues, leading executive business reviews, expanding partnerships, coordinating cross-functional teams, and managing partner account managers and embedded sales leads.

Lead the design, build, and deployment of AI-powered agents, workflows, and integrations for global marketing. Evaluate buy-vs-build, integrate platforms (HubSpot, Salesforce, Meta, Google, LinkedIn), optimize AI economics, and measure ROI while collaborating with marketing teams to automate and improve campaign execution and content localization.

Build and maintain full-stack internal tools, automated workflows, and customer-facing features using TypeScript, Node.js, and React. Integrate LLMs, AI services, third-party APIs, and external platforms. Use AI coding assistants to prototype, develop, test, and improve reliable software. Collaborate with internal users, product managers, designers, engineers, and the Chief AI Officer in an Agile environment while contributing to architecture, code reviews, UX, security, performance, and continuous improvement.

Lead the company’s Physical AI research and engineering function as a hands-on technical leader. Define research priorities, design and train Transformer-based models, establish rigorous offline and real-world evaluations, integrate systems with physical robots, and analyze failures across data, models, hardware, and environments. Build a focused team, guide technical architecture and experiments, translate customer needs into requirements, and deliver measurable improvements through deployed models, benchmarks, evaluation systems, or data products.

Build unstructured-data ingestion and context-layer pipelines for an investment group. Responsibilities include historical backfills, document parsing, entity resolution, deduplication, incremental API synchronization, embeddings, vector and graph storage, access scoping, lineage, PII protection, orchestration, monitoring, cost control, and operational runbooks.

Remote role for ML/AI experts to assess AI-generated content, craft and answer advanced technical prompts, evaluate model responses for accuracy, relevance, and clarity, identify errors or hallucinations, and provide feedback to improve AI systems.

Join ION's Graduate Development Program as a Junior Software/AI Engineer to work on innovative projects in a collaborative team environment, focusing on various technologies including AI and Cloud.

Lead pre-sales engagements for Workday’s AI-driven HCM platform. Analyze prospect requirements, create tailored demonstrations, present the full HCM suite, explain trustworthy AI benefits, address objections, and collaborate with account executives and services teams to build transformation business cases. The role requires strong HCM expertise, enterprise AI understanding, excellent Italian and English communication, and the ability to manage complex sales cycles.

Build and iterate AI systems spanning computer vision, image manipulation, video generation, and agentic data analysis. Own the full pipeline from model research and API integration through scalable web application deployment. Develop rapid MVPs using AI-assisted tools, orchestrate multiple models into autonomous workflows, and test solutions in e-commerce operations before scaling them into SaaS products.

Build hands-on cloud-native training labs and technical courseware using YAML, Markdown, Bash, and Python. Support training platforms, troubleshoot delivery issues, and help design and deliver demos, workshops, and training sessions. Apply instructional design fundamentals, use AI coding agents, collaborate cross-functionally, incorporate feedback, and progressively take ownership of technical enablement content and presentations.

Own the AI cost visibility product end-to-end, building Go backend services, APIs, and TypeScript/React interfaces. Translate cloud AI spend and usage data into clear FinOps experiences, while driving architecture, reliability, monitoring, and iteration. Collaborate closely with customers and product stakeholders, use AI throughout the engineering workflow, mentor peers, and shape product direction in an ambiguous market.

Own the AI cost visibility product end to end, developing Go backend services, APIs, data processing, and TypeScript/React interfaces. Translate AI spending data into clear FinOps experiences, work closely with customers and product needs, and use AI throughout the engineering workflow. Lead feature design, implementation, release, monitoring, and iteration while setting engineering standards, mentoring peers, and building scalable cloud-based SaaS capabilities.

Own AI cost visibility features end-to-end, from customer problem discovery and system design through implementation, release, monitoring, and iteration. Build scalable Go backend services, APIs, and TypeScript/React interfaces that process and present cloud AI spend data. Apply AI throughout the engineering workflow, contribute to product direction, understand FinOps and AI economics, mentor peers, and uphold reliable engineering practices.

Build, operate, and improve production services that deliver machine learning models within exocad’s AI Design product. Responsibilities include model serving APIs, containerized deployments, versioning, staged rollouts, rollback automation, infrastructure provisioning with Terraform and AWS, monitoring, observability, and performance tuning. The role also contributes to training and labeling infrastructure and requires collaboration across engineering, product, and global teams, including work across AWS global and China environments.

Lead Costa’s data and AI transformation by modernizing data platforms, delivering analytics and AI products, translating business needs into scalable solutions, and promoting responsible AI governance. Partner with business stakeholders, technology teams, and external providers to drive adoption, innovation, operational excellence, and measurable business value across international functions.

Lead Costa’s data and AI transformation by modernizing data platforms, delivering analytics and AI products, translating business needs into scalable solutions, and driving adoption and measurable business value. Promote responsible AI, governance, and trusted data use while collaborating with business stakeholders, technology teams, and external partners across commercial, operational, and corporate functions.

Lead Costa’s data and AI transformation by modernizing data platforms, delivering analytics and AI products, translating business needs into scalable solutions, and promoting responsible AI governance. The role partners with business stakeholders, technology teams, and external providers to drive adoption, measurable value, operational excellence, and sustainable growth across commercial, operational, and corporate functions.

As an AI Business Consultant, you will drive AI adoption strategies, analyse industry trends, and facilitate transformation initiatives for clients across various sectors.