Top Artificial Intelligence Jobs in Italy

Identify high-impact AI opportunities with corporate clients, lead discovery workshops, prototype AI-enabled solutions, redesign workflows, and translate AI capabilities into transformation programs and learning pathways. The role also develops adoption roadmaps, responsible AI guardrails, solution architectures, and executive-facing narratives while collaborating with strategy, client, and delivery teams.

Drive business development and close high-value enterprise deals with global biotech and biopharma accounts across Europe. Own strategic customer relationships, deliver recurring revenue, partner with technical and customer success teams on complex proposals, provide market insights for product direction, build industry credibility, and improve enterprise sales processes and playbooks.

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.

Lead customer deployments of Kubernetes and vCluster on bare-metal GPU infrastructure, configuring GPU nodes, networking, storage, RDMA, and InfiniBand. Validate production-ready managed Kubernetes environments, troubleshoot complex infrastructure, transfer operational knowledge, document reusable deployment playbooks, and provide feedback to Engineering and Product. Support pre-sales proof-of-value engagements and help AI cloud and factory customers independently operate and scale their platforms.

Conduct advanced research in artificial intelligence and machine learning, including deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation. Define complex business problems, design and deliver modeling solutions, evaluate model performance, establish scientific and engineering specifications, and build analytical roadmaps. Assess production implementation requirements, improve data capture methods, apply statistical and mathematical techniques, and resolve root causes and process bottlenecks.

Develop and manage sales opportunities across North-East Italy healthcare organizations, building relationships with hospitals, regional authorities and partners. Position InterSystems EMR, interoperability and AI-enabled solutions, support proposals and public tenders, collaborate with pre-sales and delivery teams, maintain pipeline and help achieve regional sales targets.

Owns relationships and value creation across a portfolio of clients. Responsibilities include understanding client businesses, identifying high-impact opportunities, conducting discovery, analyzing needs, designing functional solutions with technical architects, maintaining senior-stakeholder trust, and expanding accounts over time.

Manage the full sales cycle for SMB and mid-market legal and compliance customers, from lead generation and discovery through demos, negotiation, and close. Build pipeline, qualify opportunities, meet ARR targets, and use data-driven outreach and customer-focused sales methodologies. Collaborate with Legal Engineering, Marketing, and Customer Success to tailor AI solutions, improve onboarding, and support renewals. The role requires strong commercial communication, technology value articulation, Italian and English fluency, and interest in AI-powered legal technology.

Manage multi-country payroll operations, compliance, audits, controls, vendor relationships, payroll analysis, and process improvements. Lead payroll system automation and scalability initiatives while ensuring accurate and timely processing across jurisdictions. Partner with finance, HR, treasury, and external providers, monitor regulatory changes, and mentor a global payroll team in a distributed technology environment.

Lead a small engineering team building and shipping AI-powered SaaS features. Set technical direction, establish standards for observability, testing, security, scalable architecture, and AI evaluation, while managing delivery timelines and team development. Remain hands-on by designing and implementing production AI systems using LLMs, embeddings, RAG, vector databases, and related tooling. Partner with Product and leadership on prioritization, architecture, resourcing, and risk management.

Build the agentic layer of EVE, an open-source Earth Observation AI platform for ESA. Responsibilities include designing LangGraph orchestration, developing MCP servers and clients, implementing A2A communication, creating specialized sub-agents, integrating ESA and EO services, evaluating agent performance, prototyping research ideas, and producing documentation and tutorials.

Manage and grow strategic enterprise accounts and AI partnerships (Microsoft, GitHub), build executive relationships, own account P&L and commercial performance, design joint GTM initiatives, contribute to AI offerings and executive thought leadership, and scale the partnership ecosystem across Europe.

Build go-to-market strategies and hands-on assets that convert AI research outputs into practical use cases, demos, applications, and commercial opportunities. The role runs growth experiments, develops landing pages and interactive demos, identifies high-impact applications, translates technical capabilities into value propositions, and partners with technical, sales, and marketing teams to drive adoption, engagement, partnerships, and qualified leads.

Translate AI research and capabilities into market-ready offerings and revenue opportunities. Define use cases, value propositions, target audiences, and positioning; create sales enablement materials; execute demand-generation programs; and collaborate with leadership, marketing, and sales to drive pipeline, partnerships, qualified leads, adoption, and commercial growth.

Translated invites spontaneous applications across engineering, project management, sales, marketing, and other functions. The company develops AI-enabled translation services by combining adaptive neural machine translation, professional human translators, and text, audio, and video localization tools. Applicants of all backgrounds and experience levels are encouraged to submit their profiles for potential opportunities.

Leads global adoption of Tether AI and QVAC by identifying strategic use cases, developing enterprise and government partnerships, closing complex technology deals, defining go-to-market strategy, and building a global AI expansion team. The role requires senior stakeholder engagement, technical AI fluency, partnership management, market analysis, and international representation.

Lead the architecture and hands-on development of production-grade generative and agentic AI systems. Build LLM orchestration, AI agents, RAG, tool calling, evaluation, observability, and secure cloud-native platforms. Establish engineering standards, lead architecture and code reviews, mentor engineers, evaluate technologies, and advise clients and senior stakeholders on scalable AI solutions.

Leads enterprise solution architecture across discovery, consulting, proposals, and delivery. Defines technology vision, designs scalable cloud-native and distributed systems, advises executive stakeholders, governs implementation, and evaluates emerging technologies. Builds reusable consulting frameworks, mentors architects and engineers, leads complex client engagements, and supports pre-sales and upsales. Requires extensive software engineering and architecture leadership experience, cloud expertise across multiple platforms, strong communication skills, and knowledge of Agile, DevOps, CI/CD, and Infrastructure as Code.

Leads end-to-end architecture for enterprise data, analytics, and AI solutions in a Microsoft-first environment. Translates business requirements into secure, scalable designs; guides prototyping, implementation, reviews, troubleshooting, and production readiness. Requires deep Azure data platform, Power BI, enterprise security and governance, Azure OpenAI, and RAG experience. The architect provides hands-on technical leadership and ensures solutions meet operational, compliance, cost, and supportability standards.

Design, build, and scale a global voice and automation AI platform: implement STT/TTS and telephony stacks, integrate and optimize LLM APIs and RAG pipelines, create production-grade LLM orchestration and enterprise automation workflows, and support international deployment and delivery.

Join Welo Data’s Hungarian contributor network for flexible, remote AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create and test prompts for large language models; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Build and maintain PHP and Laravel backend services and APIs for a major product release. Own features from design through deployment and monitoring, integrate agentic AI workflows and LLM-based tooling, optimize performance and reliability, improve security, and mentor engineers. Collaborate independently with a cross-functional team on ambiguous technical challenges while delivering production-ready software.

Build and ship production voice-first agentic AI systems. Responsibilities include LangGraph agent workflows, tool calling, memory, backend integrations, real-time speech pipelines, latency optimization, interruption handling, observability, evaluation, testing, architecture, and product collaboration. The role requires strong Python and software engineering skills, production GenAI experience, and may involve voice technologies such as Pipecat, LiveKit, WebRTC, STT, and TTS.

Build and own production agentic AI runtime components, including context construction, retrieval and tool orchestration, ranking, scoring, guardrails, multilingual quality, latency and cost optimization, and evaluation systems. Diagnose production failures through traces and improve agent reliability for customer-facing commerce applications.

Design and build Livia’s AI and full-stack platform for residential property management. Responsibilities include modeling building data, developing reliable LLM automations and agents, creating internal tools and resident applications, migrating acquired firms’ data, integrating financial and contractor systems, and owning monitoring, testing, evaluation, and production reliability. The role requires end-to-end ownership, strong data modeling, clear communication, and fluent Italian and English.