Top Artificial Intelligence Jobs in Milan

Supports AI initiative delivery by identifying business opportunities, gathering requirements, translating needs into technical specifications, assessing business value, and coordinating stakeholders, data scientists, engineers, IT teams, and vendors. The role also supports Azure AI solution delivery, data governance, ethical AI compliance, change management, user adoption, documentation, and process optimization.

Develop and execute validation strategies for next-generation microwave transport systems supporting 5G and critical communications. Build Python automation frameworks, design test environments, analyze logs and protocol traces, troubleshoot complex issues, and apply AI-assisted testing to improve coverage and defect analysis. Collaborate with software, firmware, hardware, and systems teams while mentoring junior engineers and advancing testing methodologies.

Creates and manages global demand plans for optical products, monitors orders against forecasts, identifies supply chain risks, improves demand planning accuracy, and leads demand review meetings and complex planning projects. The role applies statistical and analytical forecasting methods, interprets large datasets, coordinates with markets and cross-functional stakeholders, and develops actions addressing excess inventory, obsolescence, lead-time, supply capability, and financial risks.

Owns full-cycle recruiting for commercial, operational, and technical roles across global markets. Responsibilities include sourcing passive candidates, building pipelines for hard-to-fill positions, advising hiring leaders, coordinating interviews and offers, maintaining accurate Greenhouse data, and improving hiring processes through systems thinking, data, AI, and automation.

Lead end-to-end development and deployment of agentic AI solutions for strategic enterprise customers. Design agent logic, tool calls, orchestration, guardrails, integrations, data pipelines, and performance dashboards across Salesforce and third-party platforms. Resolve complex deployment issues, build proofs of concept, establish reusable engineering patterns, mentor engineers, advise customers, and provide product roadmap feedback. The role requires strong software engineering, Salesforce, AI, data, customer communication, and Italian and English language skills.

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.

Manage influencer campaigns end to end across multiple brands and markets. Responsibilities include creator casting, briefing, negotiation, contracting, campaign timelines, budgets, approvals, client communications, performance tracking, reporting, and optimization. The role requires using CPV and campaign KPIs to manage commercial outcomes, ensuring content meets brand and compliance requirements, and operating as a power user of Kyra’s platform and AI tools.

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.

Partner with government customers and partners to design, prototype, and deploy AI solutions (computer vision, LLMs, generative/agentic AI). Create technical collateral, lead hands-on trials and deployments using NVIDIA hardware/software, and advocate product requirements across product, sales, and engineering teams.

Own and grow the Data Layer: build and operate ingestion, transformation, reconciliation, and serving pipelines (raw→refined→curated). Use agentic AI tools to accelerate delivery, ensure data correctness, and partner with backend, AI, and product teams to define reliable data contracts.

Fine-tune and post-train open-weight LLMs using methods such as SFT, LoRA, QLoRA, DPO, and GRPO. Build training data and evaluations, diagnose model failures, improve personalization and multilingual behavior, accelerate reproducible training workflows, and deploy models to production. The role involves using real user behavior to guide iterations across a large-scale AI companionship platform, with collaboration across AI, product, web, DevOps, and leadership teams.

Lead technical delivery of an AI-assisted operations platform from discovery through implementation and evaluation. Establish technical baselines, validate integrations, design maintainable rules and AI workflows, guide engineers, review code, implement testing and observability, and ensure traceable human-approved decisions. The role requires hands-on architecture, API integration, evaluation, CI, production readiness, and clear communication with business and engineering stakeholders. Travel to an in-person working session in Milan is included.

Lead the architecture and implementation of AI-native product engineering systems, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step agentic features, and AI code-review optimization. Ship end-to-end product features, set technical direction, evaluate LLM reliability and trade-offs, and accelerate validated learning through close collaboration with engineering, product, and design teams.

Lead the architecture and implementation of AI-native product engineering systems, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step agentic features, and AI code-review optimization. Ship production software, establish technical direction, and partner with product and design teams to accelerate validated learning. The role requires strong backend and distributed-systems expertise, hands-on LLM product experience, and practical use of AI coding tools.

Join Welo Data’s Swahili contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; prompt creation; and cultural and linguistic accuracy review. Applicants must be native or near-native Swahili speakers based in Kenya, Tanzania, or the Democratic Republic of Congo, with English proficiency, digital-tool comfort, and strong attention to detail. Projects vary in duration and compensation, with details provided before participation.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

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.

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.

Own the Vault product roadmap and lifecycle for a sports media asset platform. Lead discovery with customers, define solutions for content ingest, storage, integrations, AI enrichment, metadata, search, rights, and asset monetization. Partner closely with engineering, sales, and customer success, attend customer events, and prioritize product bets that help sports organizations maximize the value of extensive media archives.

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.

Develop and deploy AI-powered capabilities across product and business teams. Act as a forward-deployed engineer, embedding with finance, sales, marketing, and product teams to introduce agentic methodologies, support AI adoption, shape the company platform and strategy, and translate learnings into scalable solutions. The role emphasizes production-quality code, business impact, adaptability, collaboration, and effective work in a global distributed environment.

Lead and scale an AI-driven creative design team producing performance marketing assets. Own creative direction, production workflows, capacity planning, quality control, testing, and performance-driven iteration. Stay hands-on with Figma, Adobe Creative Suite, and generative AI tools while developing prompt and style libraries. Partner with marketing, media buying, video, creative production, and AI engineering teams to build scalable creative pipelines and high-converting visual campaigns.

Build AI-powered learning resources, automated workflows, onboarding experiences, and knowledge systems. The role involves prototyping Claude-supported solutions, maintaining Sana LMS and Notion, automating enrollment and reporting, creating learning content, and partnering with stakeholders to solve learning needs in a remote, async-first environment.

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.