Top Artificial Intelligence Jobs in Italy

Lead research and analysis of the enterprise AI services market, build market-sizing and forecasting models, publish thought leadership, advise C-level clients, present at events, support sales and peer review, mentor junior analysts, and drive research process improvements to deliver actionable insights on AI services and competitive dynamics.

Design, develop, and maintain Python and Go microservices for data ingestion and processing; integrate backend services with BigQuery and cloud data platforms; implement REST APIs; build scalable data processing pipelines using Apache Beam and Dataflow; test and troubleshoot distributed systems; review designs, estimate work, mentor junior developers, and drive performance and reliability improvements.

The Business Development Rep will qualify clients and manage outreach in AI Cloud sales, engaging technical audiences and developing partnerships.

The role involves evaluating AI-generated outputs, analyzing multimedia content, providing feedback, and ensuring culturally relevant content based on local insights. Attention to detail and analytical skills are essential.

Seeking a Senior Full-Stack Engineer to develop AI-driven web and mobile applications, focusing on scalable architectures and API integrations. Collaborate with product teams to translate features into technical solutions.

This program involves developing and deploying AI models, collaborating with teams, and working on high-impact products in a structured training program.

Act as site-level AI ambassador: identify and evaluate AI/ML opportunities, translate business problems into measurable POCs, coach teams on AMP 2.0, run feasibility tests with central AI, and scale successful POCs to production while driving business impact.

Design and implement AI solutions using ML models and NLP, collaborate with teams, and support business process improvement through AI.

The role involves designing AI solutions, developing machine learning models, collaborating with clients, and participating in presales activities.

Support the design and implementation of AI solutions, collaborating with teams, and gaining hands-on experience in machine learning and NLP.

As a Tech Lead in the AI Lab, you'll lead a team of engineers, set technical direction, and code 70% of the time while mentoring junior staff.

Join Qonto's AI Lab as a Backend Product Engineer to accelerate their AI-first product transition, focusing on building AI agents for finance management.

As a Customer AI Strategist, you will guide enterprise marketers in Europe through AI Marketing strategies, ensuring measurable results and driving business transformations while managing key client relationships and collaborating with internal teams.

As a Customer AI Analyst, you will optimize customer accounts for AI performance, design prompts for LLMs, deliver insights, and collaborate with teams to enhance service delivery and customer engagement.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

The role involves providing legal guidance on global privacy and AI issues, collaborating with teams to ensure compliance, and developing scalable processes.

Lead horizon scanning and external intelligence to identify AI and disruptive tech opportunities for R&D. Translate trends into actionable briefs, design and run pilots with stage-gates, and scale successful capabilities into production. Influence senior leadership with strategic foresight, build external partnerships, and embed a future-back innovation culture across cross-functional teams to measurably improve R&D outcomes.

Design, build and deploy AI-powered solutions (custom copilots, conversational agents, embedded AI) using Microsoft Copilot Studio, Power Automate and Azure AI Foundry. Integrate with Snowflake and enterprise systems, collaborate with stakeholders to define use cases, operationalise models, maintain reliability and governance, and evaluate emerging AI tools.

Own and prioritise the central AI platform roadmap (agent runtime, evaluation, pipelines, observability). Run experiments, ship v1s or enable product teams, and collaborate with Engineering, Data Science, and leadership to improve AI product speed, quality, and production robustness.

Provide hands-on stabilization of multiple early-stage, often AI-generated codebases: assess, fix bugs, refactor, add missing core functionality (auth, payments), improve performance, implement lightweight testing, and collaborate across teams on fractional hourly engagements.

Own SEO strategy and KPI progress for client accounts, build AI-supported workflows and automations, create repeatable SEO processes, lead client communications and reviews, and drive measurable visibility and business outcomes by combining AI tools and specialist expertise.

Lead design and build a greenfield, AWS-based agentic software delivery platform. Integrate LLMs and agentic coding tools, implement tool orchestration and function calling, deliver end-to-end full‑stack features, evaluate trade-offs between off‑the‑shelf and custom solutions, and drive autonomous engineering capabilities.

Lead full‑stack development of high‑traffic public websites, integrate AI tooling into the SDLC, design scalable backend and performant UIs, maintain cloud infrastructure, CI/CD, monitoring, and testing, and own services under a you‑build‑it‑you‑run‑it philosophy.

Lead end-to-end technical projects for a Voice AI CX platform: scope, plan, manage releases, align product to customer requirements, track metrics, ensure quality, and communicate status to clients and engineering.

Lead QA automation for AI/LLM systems: define validation criteria for non-deterministic models, build automated and performance tests, validate RAG systems, perform API and integration testing, ensure release readiness and trace defects to data/models/requirements.