ph3Mission Statement /h3 /brpCampari Group today is a major player in the global branded spirits industry, with a portfolio of over 50 premium and super premium brands, marketed and distributed in over 190 markets around the world, with leading positions in Europe and the Americas. /p /brpHeadquartered in Milan, Italy, Campari Group owns b25 /b plants worldwide and has its own distribution network in b26 /bcountries, and employs approximately b4,700 /b people. /p /brpShares of the parent company Davide Campari - Milano N.V. are listed on the Italian Stock Exchange since 2001. Campari Group is today the sixth-largest player worldwide in the premium spirits industry. /p /brh3General Description Of The Role /h3 /brpWithin the Technology Services organization, in the AI, Data Analytics team, the role is responsible for enabling data-driven decision making and accelerating business value through data, analytics and Artificial Intelligence capabilities. As Artificial Intelligence rapidly evolves from predictive analytics into Generative AI and Agentic AI, the organization requires dedicated engineering capabilities to transform AI opportunities into scalable, secure and enterprise-ready solutions. /p /brpThe Global AI Engineer plays a critical role in designing, developing, deploying and operationalizing AI-powered applications, intelligent assistants and autonomous agents that enhance employee productivity, automate knowledge work and support strategic business initiatives across Commercial, Supply Chain, Finance, HR and Corporate Functions. /p /brpThe role acts as the technical bridge between business stakeholders, data teams and technology platforms, translating AI use cases into scalable solutions integrated within the enterprise ecosystem. The AI Engineer is responsible for accelerating the industrialization and adoption of AI capabilities, ensuring that solutions are secure, governed, reusable and aligned with business priorities. /p /brh3Key Responsibilities And Activities /h3 /brh3AI Solutions Design Development /h3 /brul /brliDesign, develop and deploy Generative AI applications, intelligent assistants and AI agents to support business processes and decision-making. /li /brliTranslate business requirements into scalable AI architectures and technical solutions. /li /brliDevelop reusable AI components, prompts, workflows and orchestration frameworks that can be leveraged across multiple functions and markets. /li /brliContribute to the evolution of a standardized and scalable AI application architecture. /li /br /ul /brh3Agentic AI Enablement /h3 /brul /brliDesign and implement AI agents capable of executing multi-step workflows and interacting with enterprise systems. /li /brliSupport the development of autonomous and semi-autonomous AI solutions that augment employees and automate knowledge-intensive activities. /li /brliContribute to the definition and implementation of agent orchestration, reasoning and monitoring frameworks. /li /brliIdentify opportunities to increase process efficiency through Agentic AI capabilities. /li /br /ul /brh3Enterprise Integration Automation /h3 /brul /brliIntegrate AI solutions with enterprise applications, data platforms and collaboration tools. /li /brliCollaborate with Data Platform, Enterprise Architecture and Application teams to ensure seamless integration and scalability. /li /brliSupport the development of API-based integrations and automation workflows that enable AI solutions to operate effectively within the enterprise ecosystem. /li /brliEnsure interoperability between AI,



Automation and Data Analytics platforms. /li /br /ul /brh3AI Governance, Security Reliability /h3 /brul /brliImplement AI governance principles, security controls and monitoring mechanisms in line with company standards and compliance requirements. /li /brliEnsure AI solutions are reliable, scalable, explainable and aligned with responsible AI principles. /li /brliMonitor AI application performance and continuously optimize solution effectiveness and user adoption. /li /brliSupport the establishment of AI engineering standards, best practices and development frameworks. /li /br /ul /brh3Stakeholder Partnership Value Realization /h3 /brul /brliCollaborate closely with business stakeholders to identify, prioritize and deliver high-value AI use cases. /li /brliSupport business functions in assessing feasibility, business value and implementation approaches for AI initiatives. /li /brliDrive the industrialization of proofs of concept and pilots into production-ready solutions. /li /brliContribute to measuring business impact, adoption and value realization from AI investments /li /br /ul /brh3Innovation Continuous Improvement /h3 /brul /brliStay informed about emerging AI technologies, frameworks and industry trends. /li /brliEvaluate new tools, models and platforms that can strengthen the company's AI capabilities. /li /brliPromote AI knowledge sharing and support capability-building initiatives across the organization. /li /brliContribute to strengthening Campari Group's internal AI engineering capabilities while reducing dependency on external partners /li /br /ul /brh3Required Skills And Experience /h3 /brh3Experience Background /h3 /brul /brli5+ years of experience in Software Engineering, Data Engineering, Machine Learning Engineering or AI Engineering roles. /li /brliProven experience developing and deploying AI, Machine Learning and Generative AI solutions in enterprise environments. /li /brliExperience working with cloud-based AI ecosystems and modern data platforms. /li /brliDemonstrated experience delivering scalable applications from concept to production. /li /brliExperience collaborating with cross-functional business and technology teams in international organizations /li /br /ul /brh3AI Data Engineering Skills /h3 /brul /brliStrong knowledge of Generative AI architectures, Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) patterns. /li /brliExperience building AI copilots, virtual assistants and agent-based solutions. /li /brliUnderstanding of prompt engineering, agent orchestration frameworks and AI application lifecycle management. /li /brliExperience designing scalable AI and data pipelines. /li /brliKnowledge of vector databases, embeddings, knowledge retrieval and semantic search concepts. /li /br /ul /brh3Technical Skills /h3 /brul /brliHands-on experience with Azure AI Services, Azure OpenAI, Databricks and modern cloud-native architectures. /li /brliStrong programming skills in Python and modern software development practices. /li /brliExperience working with APIs, integrations, microservices and automation platforms. /li /brliFamiliarity with DevOps, MLOps and AIOps practices. /li /brliUnderstanding of data governance,



cybersecurity and enterprise architecture principles. /li /br /ul /brh3Business Skills /h3 /brul /brliAbility to translate business challenges into practical AI solutions. /li /brliStrong analytical and problem-solving capabilities. /li /brliAbility to prioritize initiatives based on business value and feasibility. /li /brliStrong communication skills with both technical and non-technical stakeholders. /li /br /ul /brh3Education /h3 /brul /brliBachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science or related fields. /li /brliRelevant certifications in Cloud, Data Engineering or Artificial Intelligence are considered a plus. /li /br /ul /brh3Key Competencies /h3 /brul /brliStrong innovation mindset and passion for emerging technologies. /li /brliAbility to combine technical excellence with business value creation. /li /brliStrong stakeholder management and influencing skills. /li /brliStructured and analytical problem-solving approach. /li /brliAccountability and ownership mindset. /li /brliAbility to operate effectively in ambiguous and rapidly evolving environments. /li /brliCollaboration and teamwork across global and cross-functional teams. /li /brliContinuous learning attitude and intellectual curiosity. /li /brliResults-oriented approach focused on delivering measurable outcomes. /li /brliStrong communication and storytelling capabilities when explaining AI concepts to business audiences. /li /brliFluent English. /li /br /ul /brpThe indicative annual gross salary (base salary) for this position ranges within 50K-62K + 10% STI, depending on the candidate’s experience, skills, and overall profile. /p /brpThe role is classified in accordance with the collective labor agreement – level 2. /p /brpThe position might also include a variable compensation component and a benefits package in line with applicable company policies.” /p /brh3Our commitment to Diversity Inclusion: /h3 /brpAt Campari Group we believe in building more value together, thus we see diversity in all forms as a source of enrichment. /p /brpOur employment policies and practices ensure that we are committed to providing equal employment opportunities in all aspects of employment without regard to any individual’s race, religion, creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, sexual orientation, gender identity or characteristics or expression, political affiliation or activity, age, veteran status, citizenship, or any other characteristic protected by law. /p /brpCampari Group believes that fair compensation and equal opportunities are crucial for employees’ well-being, empowerment, and engagement. Our efforts to ensure fair pay have earned us the Fair Pay Certification by Fair Pay Workplace, an independent organization dedicated to dismantling pay disparities based on gender, race and their intersection. /p /brh3Note to applicants: /h3 /brpYour application will be assessed based on your abilities, expertise, general knowledge and experience, not because of any confidential, proprietary or trade secret information you may possess. You must not disclose to Campari Group any such information. In the event that you are asked a question that cannot be answered without disclosure of any confidential, proprietary or trade secret information (including from a current or prior employer or their vendors or customers), you must decline to answer the question. /p /p #J-18808-Ljbffr

📌 Global AI Engineering (Sesto San Giovanni)
🏢 Campari Group
📍 Sesto San Giovanni