Top Artificial Intelligence Jobs in Italy

Intern will develop AI-enabled tools for NAND memory cell characterization, including waveform ingestion, preprocessing, feature extraction, reference comparison, reporting, and human-in-the-loop validation. The role involves collaborating with cell engineers, testing and refining tools, documenting modules, and applying AI to improve analysis workflows. Candidates should understand AI/ML fundamentals, Python or C/C++, signal processing, and time-domain waveforms. Familiarity with NAND operations, LLM orchestration, waveform libraries, and oscilloscope formats is preferred.

Enterprise Account Executive role focused on building new business across EMEA. Responsibilities include developing territory sales strategies, acquiring enterprise customers, exceeding new-logo quotas, managing complex consultative sales cycles, engaging C-level decision-makers, negotiating contracts, partnering with marketing and pre-sales, and developing partner go-to-market strategies. The role requires enterprise SaaS sales experience, technical platform selling expertise, and proficiency with Salesforce, Clari, and MEDDPICC.

Executive regional COO serving as deputy to the SVP of EMEA South, driving business performance, revenue outcomes, strategic planning, demand generation, pipeline excellence, customer adoption, and complex enterprise pursuits. The role represents regional leadership with C-suite customers, coordinates pan-EMEA initiatives, develops senior talent, and participates in global leadership forums across France, Italy, Spain, Israel, UAE, Saudi Arabia, and South Africa.

Lead the AI Quality engineering team while building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and experimentation frameworks for production AI agents. Responsibilities include measuring agent quality, diagnosing failures, evaluating models, improving cost and latency, managing team priorities, and partnering with AI Core engineering. The role is hands-on and requires production software development experience with complex tool-using AI systems.

Lead a hands-on AI Quality engineering team building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Design experiments across prompts and models, improve quality, latency, and cost, diagnose agent failures, and partner with AI Core engineering. Manage team priorities while contributing directly to Ruby on Rails and Python code.

Lead a hands-on AI Quality engineering team building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and experimentation frameworks for AI agents. Responsibilities include designing CI/CD pipelines and scorers, diagnosing agent failures, evaluating models, optimizing cost and latency, and partnering with AI Core engineering to improve production AI quality. The role also includes team leadership and management.

Lead a hands-on AI Quality engineering team building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and experimentation frameworks for production AI agents. The role evaluates models, prompts, tools, and agent behavior while improving quality, latency, and cost. Responsibilities include leading technical direction, managing team priorities, coding, and partnering with AI Core engineering. Experience with production software, LLM agents, evaluation infrastructure, Ruby on Rails, Python, and ML/AI datasets is required.

Lead the AI Quality engineering team while building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Design experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering, manage priorities, and remain hands-on with implementation.

Lead a hands-on AI Quality engineering team building evaluation infrastructure, observability tools, diagnostic systems, datasets, annotation workflows, and experiment frameworks for production AI agents. Responsibilities include measuring agent quality, tracing failures, evaluating models, improving cost and latency, managing team priorities, and partnering with AI Core engineering. The role requires substantial production software experience, AI/ML evaluation expertise, and proficiency or adaptability in Ruby on Rails and Python.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.

Manage five strategic customer accounts and one prospect, driving enterprise software sales through new customer acquisition, account expansion, upselling, and cross-selling. Develop territory and business plans, build executive-level relationships, conduct demonstrations and events, and position Dynatrace against competitors. Collaborate with sales engineering, SDRs, partners, marketing, legal, and finance to execute solution strategies and ensure successful customer implementations.

Lead end-to-end delivery of IT digitalization and AI projects, translating business needs into technical scope and coordinating cross-functional teams, suppliers, deployments, rollouts, budgets, risks, and operational handover. The role supports digital strategy across automotive manufacturing sites and requires project management, change management, stakeholder alignment, and occasional international travel.

Executive leader responsible for MGM Resorts’ enterprise consumer digital product strategy, roadmap, user experience, analytics, and commercial performance. Leads product management, UX research and design, and product analytics teams while partnering with engineering, marketing, loyalty, revenue management, and property operations. Oversees digital booking, mobile, web, loyalty, personalization, experimentation, conversion optimization, and guest journey initiatives to increase direct bookings, retention, cross-selling, and customer lifetime value.

Own the lifecycle of AI products by translating business priorities into executable roadmaps, partnering with engineering and design, driving delivery, and incorporating user feedback. Lead client demonstrations, define and evaluate product metrics, coordinate cross-functional teams, and align product development with broader innovation strategy. The role requires strong product management, leadership, communication, analytical, agile, and user research skills.

Build Solidgate’s ML/AI function from the ground up, developing real-time payment routing models and production pipelines. Own the full ML lifecycle from experimentation and A/B testing through deployment, while solving modeling challenges involving large-scale transactional data. Partner with Product, Engineering, and Data Platform teams to deliver measurable improvements in conversion, approval rates, losses, and revenue.

Work closely with company founders to execute go-to-market strategies, improve operational processes, grow client and partner communities, and implement AI-driven solutions. The role involves managing go-to-market pipelines end to end, coordinating cross-functional initiatives, and adapting within a fast-paced startup environment.

Supports immigration matters by preparing and filing petitions, assisting with U.S. talent visa processes, researching immigration laws and regulations, and collaborating with cross-functional teams on legal compliance. The role suits an organized, adaptable paralegal with immigration documentation experience who is interested in contributing to an AI-driven startup law firm serving international teams.

Leads OKX’s global marketing compliance function, building policies, controls, review and approval processes, monitoring programs, and regulatory change management for advertising, promotions, social media, influencers, affiliates, and product launches across CeFi and DeFi. Partners with Marketing, Product, Legal, Risk, and Compliance teams; manages incidents, supports audits, delivers training, and scales the compliance team and framework.

Lead ABB Robotics’ enterprise AI strategy by developing the AI roadmap, prioritizing high-value use cases, establishing governance, and driving adoption across business lines and functions. The role translates emerging AI capabilities into measurable business outcomes, redesigns processes and operating models, connects external innovation to business needs, and builds organizational capabilities for AI-enabled ways of working.

Own the full enterprise sales cycle, from prospecting and platform demonstrations through negotiation and closing. Achieve annual sales targets, build qualified pipeline with SDR support, present proposals, provide market insights, identify growth opportunities, and develop sales initiatives. Maintain accurate forecasts and pipeline data while collaborating with Marketing, Sales Operations, Sales Engineering, and Enablement teams.

Senior Commercial Counsel will negotiate enterprise sales, partnership, vendor, services, data licensing, and marketing agreements. The role advises on privacy, intellectual property, data security, AI law, and cross-border data transfers across the UK/EU and APAC. Responsibilities include building scalable legal processes, supporting sales and business development, managing international regulatory issues, and translating evolving AI legal developments into practical guidance for a fast-growing company.

Supports sourcing and procurement initiatives through KPI governance, purchase order process improvement, root-cause and corrective-action analysis, commodity strategy, volume forecasting, vendor-list management, and supply chain collaboration. The intern will also investigate artificial intelligence applications in procurement, participate in training and cross-functional projects, present results, and follow health, safety, and environmental standards.

Build and scale Anthropic’s consulting, global systems integrator, and AI-native partner ecosystem across Italy. Own partner strategy, investment priorities, development plans, pipeline, revenue, training, joint proposals, and business reviews. Develop market-specific go-to-market strategies, joint customer solutions, and competitive positioning while supporting customer success, regulatory compliance, and data sovereignty. The role requires senior stakeholder relationships, cross-functional collaboration, fluent English and Italian, and regular domestic and international travel.

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.

Lead the engineering function on a remote consulting mission by setting technical direction, managing and mentoring engineers, driving the roadmap, overseeing complex delivery, improving engineering practices, and partnering with product and business stakeholders. The role requires hands-on technical leadership, architectural judgment, agile expertise, and evaluation of emerging technologies including cloud, AI, and blockchain.