Top Artificial Intelligence Jobs in Milan

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

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.

Lead international commercial build for data, engineering and AI: own data foundation, shared engineering pool, solution architecture, AgentOps, AI evaluation, model routing and CIO platform integration to deliver production-grade, governed AI and data products.

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.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

The Generative AI Engineer will define strategies for Generative AI, design and build innovative products, and mentor engineers, focusing on AI transformation for financial services clients.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Manage daily cash flow, optimize cash management and working capital, centralize payments, oversee factoring and cash pooling, manage short- and long-term financing, banking relationships, cash flow forecasting, hedging, TMS implementation, and deliver liquidity and risk reports to senior management.

Support sales by delivering technical demos, POCs, workshops and architecture guidance. Translate customer requirements into solutions, enable partners, respond to procurement requests, and coordinate with product and engineering throughout the pre-sales lifecycle.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.

Work with traders, asset operators, and developers to analyze electricity market outcomes, improve trading and operational strategies, and drive customer success. Translate market workflows into product requirements, collaborate with engineering to enhance analytics, dashboards, and optimization models, and lead customer onboarding, implementation, and ongoing technical account management.

Design scalable, secure architectures and reference blueprints for Generative AI, ML, and agentic workflows. Evaluate technical feasibility via POCs, define production requirements, optimize for cost, latency, and reliability, ensure AI governance/compliance, conduct model validation, and provide technical leadership and mentorship to align business, engineering, security, and infrastructure.

The Growth Engineer will build growth tools, implement AI solutions, optimize websites, lead technical projects, and explore new technologies to drive business growth in a FinTech environment.

Design and implement AI solutions, collaborate with clients to understand requirements, lead development of machine learning models, and support presales activities.

Lead end-to-end ML product roadmaps and initiatives (e.g., Attachment Matcher, Transaction Categorizer). Collaborate with data scientists, engineers, and stakeholders to define, deliver, and monitor ML solutions that drive measurable business value for SMEs across Qonto's platform.

No responsibilities or duties were listed in the job description.

Lead research and deliver executive-level insights on enterprise AI strategy, producing thought leadership, advising clients and vendors, supporting sales and conferences, mentoring analysts, and driving research agenda and process improvements to accelerate clients' AI value realization.

Act as the technical bridge between AI/analytics capabilities, customers, and sales across EMEA. Identify use cases, run discovery workshops, demos, pilots and PoCs, enable sales via content and training, feed product/R&D with field insights, and support product launches. Role requires regular travel across EMEA and close collaboration with HQ.

Participate in a 14-day remote pilot using a qualifying Google Pixel device to interact naturally with notification-generating apps, complete daily 10-15 minute notification sorting tasks, submit daily feedback and documentation, and report technical issues. Must follow instructions and maintain confidentiality via the Upwork platform.

As an AI Senior Business Consultant, you will leverage AI technologies to drive strategic business opportunities, analyzing trends, and facilitating AI-driven transformations across multiple industries.

The Chief Data & AI Officer will lead the establishment of a company's data and AI infrastructure, ensuring reliable information capture, decision-making processes, AI system integration, and compliance with governance standards.

Founding AI Engineer responsible for end-to-end R&D and deployment of AI systems (LLMs, diffusion, vision), building rapid prototypes, orchestrating multi-model agentic workflows, integrating diverse APIs, and shipping scalable web applications to support e-commerce and future SaaS products.

The role involves delivering features across the CRM platform for distributors, using AI tools, handling fullstack development tasks, and collaborating closely with teams and customers.

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

Lead AI architecture and implementation for financial services clients: support business development, enable and manage engineering teams, design scalable LLM/multi-agent systems, ensure AI safety, compliance, and monitoring, and translate business needs into technical specifications.