Top Artificial Intelligence Jobs in Milan

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.

Lead the technical side of Salesforce sales cycles by understanding customer needs, designing tailored solutions, creating and delivering product demonstrations, responding to RFPs, and advising decision-makers. Collaborate with sales and cross-functional teams, communicate Salesforce’s business value, support digital transformation initiatives, meet performance objectives, and maintain relevant product knowledge through training and certifications.

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.

Leads AI red-teaming research as a principal individual contributor. Defines attack research agendas, evaluates frontier models and agentic systems, conducts vulnerability research, develops attack harnesses and security-testing tools, publishes findings, coordinates disclosures, and establishes technical quality standards. Requires deep offensive security expertise, original public research, hands-on LLM and agent security experience, strong Python and systems engineering skills, and the ability to guide other researchers without direct people management.

Build and operate secure, scalable multi-cloud platform infrastructure supporting AI and agentic AI workloads. Develop Terraform modules, CI/CD pipelines, GitOps workflows, Kubernetes platforms, autoscaling, observability, access controls, and self-healing automation across AWS, Azure, and GCP. Maintain platform services, enforce compliance guardrails, improve reliability and cost efficiency, contribute to architecture, and mentor engineering teams in regulated environments.

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.

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.

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.

Manages end-to-end investigator and clinical site payments, including payment processing, invoice review, reconciliations, accruals, forecasting, reporting, risk management, and issue resolution. The role reviews data from study budgets, EDC, and CTMS systems; improves payment processes and systems; evaluates AI opportunities; and collaborates with global internal and external stakeholders.

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.

Develop a pro-human strategy for AI emphasizing controllable, verifiable, human-centered systems. Track efficient models, open-source AI, robotics, and industrial applications; engage international policymakers and stakeholders; build coalitions; and translate technical strategy into policy recommendations. The role requires strong AI technical fluency, policy engagement experience outside the US and China, excellent communication, stakeholder management, and independent strategic leadership.

Own product strategy, roadmap, discovery, execution, launches, and performance metrics for manufacturing-focused products. Collaborate across product, firmware, cloud, UX, engineering, and business teams to translate customer and shop-floor needs into impactful solutions. Focus areas include production insights or hardware, firmware, data capture, and IoT connectivity. The role requires strong product management, customer discovery, analytics, communication, and cross-functional leadership skills, with relocation to Copenhagen and eligibility for a Danish work permit.

Manage a portfolio of Italian customers by building relationships, driving cloud product adoption, reducing churn, and identifying renewal, upsell, and cross-sell opportunities. Develop customer success plans, coordinate Sales, Support, Product, and Solution Architecture teams, escalate customer issues, communicate customer feedback internally, and deliver training, webinars, events, and engagement initiatives. Maintain customer data and reporting while helping improve Customer Success processes.

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.

Leads strategic and cross-functional initiatives from conception through implementation within the CEO Office. Responsibilities include AI transformation and strategic finance programs, business planning, financial modeling, market and competitive analysis, executive and board meeting preparation, stakeholder alignment, and support for the CEO and executive team.

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 enterprise-wide AI strategy and coordination across the bank, managing the AI use-case portfolio, federated operating model, governance, regulatory alignment, and value tracking. The role advises executive leadership, coordinates business, technology, risk, compliance, legal, and global stakeholders, and translates AI developments into actionable recommendations while ensuring responsible adoption and alignment with banking regulations and technology strategy.

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.

Lead the engineering function for a growing technology company on a renewable consulting mission. Responsibilities include setting the engineering roadmap, managing and mentoring engineers, guiding architecture and technical decisions, leading complex projects, improving engineering practices, and collaborating with product and business stakeholders. The role requires hands-on technical involvement, strong software engineering expertise, and the ability to evaluate emerging technologies including cloud, AI, and blockchain. French fluency and strong English communication skills are mandatory.

Defines enterprise AI solution architecture across generative AI, predictive analytics, NLP, and computer vision. Develops scalable architecture blueprints, reference patterns, and implementation roadmaps; leads design governance for data pipelines, model integration, APIs, orchestration, deployment, and observability. Partners with product, engineering, data, and business stakeholders, while guiding AI/ML engineering, MLOps, model lifecycle management, responsible AI, security, and platform scalability.

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.