Top Artificial Intelligence Jobs in Italy

Build and ship user-facing AI agent features for Android within Qonto’s regulated banking app. Own the Android experience end to end, designing clean, testable, performant Kotlin code and delivering features from scoping through release. Collaborate with Product, iOS, Backend, and Frontend teams to bring web capabilities to mobile, while using AI coding tools extensively and helping establish scalable foundations for other teams’ AI agents.

As a Senior Machine Learning Engineer, you will develop and scale customer-facing AI models, ensuring quality integration with business solutions, and mentoring peers.

Lead Chainguard’s European government affairs and public policy strategy across the UK and Europe. Engage regulators, governments, standards bodies, and industry coalitions; develop policy positions and consultation responses; translate cybersecurity regulations into product, positioning, and customer implications; and establish a scalable policy function. The role requires senior stakeholder engagement, technical policy communication, frequent regional travel, and eventual team-building responsibility.

Develops ABB RCBO people-protection products from concept through validation. Responsibilities include mechanical and electromechanical design, 3D CAD modeling, engineering simulations, prototyping, laboratory testing, technical documentation, and product validation. The role collaborates with mechanical, electrical, manufacturing, testing, and quality teams while applying digital engineering and AI tools to improve product development, reliability, manufacturability, and efficiency.

Own the full sales cycle for Slack across a high-volume account portfolio, from prospecting and pipeline generation through negotiation and closing. Build relationships with business leaders, position Slack’s AI capabilities, develop ROI-driven business cases, and partner with Salesforce Account Executives and Solution Engineers on co-selling, demonstrations, and solution customization. The role requires Italian and English fluency, quota-carrying SaaS sales experience, pipeline management, forecasting, negotiation, and presentation skills.

Own the complete sales cycle for Slack across a high-volume account portfolio, from prospecting and pipeline generation through negotiation and close. Build relationships with business leaders, position Slack AI capabilities, develop ROI-driven business cases, and partner with Salesforce Account Executives and Solution Engineers on demos and co-selling. Maintain disciplined forecasting, tailor value propositions, and drive new and expansion business across the territory.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Supports Account Executives throughout the sales cycle by leading technical discovery, solution design, demonstrations, workshops, proofs of concept, evaluations, and technical validation. Translates engineering, simulation, HPC, AI, and infrastructure requirements into Rescale recommendations, documents opportunities in Salesforce, resolves technical risks, supports negotiations, and ensures effective post-sale handoffs across Northern Europe.

Designs and integrates enterprise infrastructure across Azure, Microsoft 365, cloud, SaaS, on-premises, identity, endpoint, networking, virtualization, and unified communications platforms. Leads cross-team architecture discussions, develops technology roadmaps, evaluates solution tradeoffs, supports AI infrastructure planning, contributes to major incident resolution, and coaches technical teams. The role requires influencing stakeholders across technical and business functions while ensuring secure, cohesive, and business-aligned infrastructure outcomes.

Supports product care and continuous improvement for ABB’s People Protection portfolio. Responsibilities include 3D CAD design, engineering analysis and simulation, prototype development, testing, validation, root cause analysis, cost reduction, and industrialization support. The role collaborates with R&D, manufacturing, suppliers, laboratories, and quality teams while exploring digital engineering, AI, new materials, and data-driven product development methods.

Designs, deploys, and governs production-grade agentic AI systems at enterprise scale. Responsibilities include multi-agent orchestration, RAG standards, multi-LLM integrations, LLMOps, evaluation and observability frameworks, safety and cost controls, and client architecture leadership. The role also develops reusable engineering accelerators, presents AI impact to senior stakeholders, and manages and develops engineering teams.

Lead applied research and system design for agent-native search: build multi-stage retrieval, ranking, and grounding methods for LLM-driven, iterative agent workflows; deploy high-throughput, low-latency production systems; define evaluation metrics; run experiments and mentor engineers.

Review and annotate images by identifying people, actions, and predefined categories. Follow detailed annotation guidelines, maintain accuracy and consistency, review completed work, and help create high-quality datasets for AI models. The role requires strong attention to detail, independent work, reliability, and EU citizenship with residence in the European Union.

Develop data mining, machine learning, NLP, and analytics solutions for public-sector customers. Responsibilities include gathering requirements, architecting solutions, processing structured and unstructured data, creating data models, developing scripts, designing analytics architectures, validating outputs, documenting findings, and supporting project teams. The role also involves applying LLMs, data visualization, business intelligence, ETL, database technologies, web architectures, and DevOps practices.

Develop, test, and implement generative AI workflows for luxury fashion studio operations. Audit and automate cross-functional processes, translate creative team needs into practical technology solutions, prototype emerging tools, and create prompt libraries, workflow guides, and governance practices. The role supports multiple international studio teams and requires strong organization, analytical thinking, collaboration, communication, and a passion for luxury fashion and visual content.

Design, implement, and optimize high-performance attention and foundational AI kernels for GPUs, NPUs, ASICs, and other accelerators. Build reusable attention-framework abstractions, profile workloads, develop benchmarks and correctness tests, analyze hardware and compiler behavior, and improve production inference performance. Collaborate with hardware and software teams, document designs, resolve ambiguous performance issues, and mentor engineers while supporting new accelerator architectures and AI workloads.

Build and operate production AI-powered backend systems for Anti-Financial Crime investigations. Responsibilities include designing agentic workflows, integrating internal systems, orchestrating models and tools, creating reliable APIs and databases, measuring AI quality, implementing observability and fallbacks, and owning projects from discovery through production improvement. The role requires staff-level autonomy, stakeholder collaboration, architectural judgment, and end-to-end delivery in a regulated environment.

Owns end-to-end commercial relationships for approximately 80 high-value SMB merchants. Responsibilities include retaining and growing accounts, driving cross-sell and upsell opportunities, monitoring portfolio health and churn risk, resolving complex merchant issues, maintaining forecasts, and coordinating internal teams to improve merchant outcomes and transaction margin.

Serve as the founding customer-facing engineer for Kimchi, leading product demonstrations, customer workspace setup, inference API integrations, model routing optimization, and governance policy implementation. Configure agent workflows, integrations, budgets, cost attribution, and access controls. Translate customer feedback into product improvements while identifying opportunities for revenue expansion. The role combines hands-on LLM and inference expertise with customer enablement and commercial thinking in a remote-first environment.

Evaluate AI-generated legal answers, define accuracy and quality criteria, build and review legal evaluation benchmarks, and compare responses from different AI models. The role requires independent remote work, strong legal judgment, excellent Italian, admission to the Italian Bar, and an active Italian VAT number. Familiarity with legal technology, generative AI, or AI evaluation methods is advantageous but not required.

Produces photorealistic AI-generated visual assets for performance marketing campaigns across paid media and landing pages. Creates lifestyle imagery, product visuals, human characters, and multiple creative variations; retouches and enhances source materials; maintains brand consistency and visual quality; and iterates based on performance data and feedback. Collaborates with marketers, copywriters, media teams, and video editors while researching emerging AI tools and documenting work in ClickUp.

Own the design, implementation, monitoring, and governance of credit and fraud risk models and reporting across BNPL and lending portfolios. Analyze loss drivers, approval rates, recoveries, and portfolio performance; build BI dashboards; support IFRS9 provisioning, stress testing, regulatory reporting, and credit policy development. Collaborate with finance, product, payments, risk, auditors, regulators, and leadership to deliver actionable risk and profitability insights.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Serve as a technical-strategic partner for AI Decisioning customers, leading use-case delivery from discovery through go-live and expansion. Collaborate with engineers, executives, marketers, and IT stakeholders to define requirements, explore customer data, recommend marketing improvements, manage project risks, and develop delivery best practices. The role also contributes to AI Decisioning product strategy and requires customer-facing consulting, strong communication, and 10–25% travel.

Six-month paid internship in Milan focused on building and deploying AI solutions for financial-services clients. The role combines business analysis, AI and machine-learning engineering, software development, APIs, integrations, cloud deployment, monitoring, and client communication. Interns build prediction models, document-analysis and RAG pipelines, evaluate LLMs and agents, and deliver production applications using technologies such as Python, PyTorch, FastAPI, Azure, and Snowflake. The internship is intended to lead to a permanent Forward-Deployed AI Engineer role.