ppCampari 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.
Headquartered in Milan, Italy, Campari Group owns 25 plants worldwide and has its own distribution network in 26 countries, and employs approximately 4,700 people.
Shares of the parent company Davide Campari - Milano N.V. are listed on the Italian Stock Exchange since ****.
Campari Group is today the sixth-largest player worldwide in the premium spirits industry.
/ph3Mission Statement /h3pThe Global AI Engineer is responsible for accelerating the adoption and industrialization of Artificial Intelligence across Campari Group by designing, developing and scaling AI-powered solutions, intelligent assistants and autonomous agents that enhance productivity, automate business processes and unlock measurable value.
The role contributes to establishing the foundations of an enterprise-wide Agentic AI ecosystem, maximizing the return on existing data and AI investments and supporting sustainable business growth.
/ph3General Description of the Role /h3pWithin 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.
The 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.
The 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.
/ph3Key Responsibilities and Activities /h3h3AI Solutions Design Development /h3ulliDesign, develop and deploy Generative AI applications, intelligent assistants and AI agents to support business processes and decision-making.
/liliTranslate business requirements into scalable AI architectures and technical solutions.
/liliDevelop reusable AI components, prompts, workflows and orchestration frameworks that can be leveraged across multiple functions and markets.
/liliContribute to the evolution of a standardized and scalable AI application architecture.
/li /ulh3Agentic AI Enablement /h3ulliDesign and implement AI agents capable of executing multi-step workflows and interacting with enterprise systems.
/liliSupport the development of autonomous and semi-autonomous AI solutions that augment employees and automate knowledge-intensive activities.
/liliContribute to the definition and implementation of agent orchestration, reasoning and monitoring frameworks.
/liliIdentify opportunities to increase process efficiency through Agentic AI capabilities.
/li /ulh3Enterprise Integration Automation /h3ulliIntegrate AI solutions with enterprise applications, data platforms and collaboration tools.

/liliCollaborate with Data Platform, Enterprise Architecture and Application teams to ensure seamless integration and scalability.
/liliSupport the development of API-based integrations and automation workflows that enable AI solutions to operate effectively within the enterprise ecosystem.
/liliEnsure interoperability between AI, Automation and Data Analytics platforms.
/li /ulh3AI Governance, Security Reliability /h3ulliImplement AI governance principles, security controls and monitoring mechanisms in line with company standards and compliance requirements.
/liliEnsure AI solutions are reliable, scalable, explainable and aligned with responsible AI principles.
/liliMonitor AI application performance and continuously optimize solution effectiveness and user adoption.
/liliSupport the establishment of AI engineering standards, best practices and development frameworks.
/li /ulh3Stakeholder Partnership Value Realization /h3ulliCollaborate closely with business stakeholders to identify, prioritize and deliver high-value AI use cases.
/liliSupport business functions in assessing feasibility, business value and implementation approaches for AI initiatives.
/liliDrive the industrialization of proofs of concept and pilots into production-ready solutions.
/liliContribute to measuring business impact, adoption and value realization from AI investments.
/li /ulh3Innovation Continuous Improvement /h3ulliStay informed about emerging AI technologies, frameworks and industry trends.
/liliEvaluate new tools, models and platforms that can strengthen the company's AI capabilities.
/liliPromote AI knowledge sharing and support capability-building initiatives across the organization.
/liliContribute to strengthening Campari Group's internal AI engineering capabilities while reducing dependency on external partners.
/li /ulh3Required Skills and Experience /h3h3Experience Background /h3ulli5+ years of experience in Software Engineering, Data Engineering, Machine Learning Engineering or AI Engineering roles.
/liliProven experience developing and deploying AI, Machine Learning and Generative AI solutions in enterprise environments.
/liliExperience working with cloud-based AI ecosystems and modern data platforms.
/liliDemonstrated experience delivering scalable applications from concept to production.
/liliExperience collaborating with cross-functional business and technology teams in international organizations.
/li /ulh3AI Data Engineering Skills /h3ulliStrong knowledge of Generative AI architectures, Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) patterns.
/liliExperience building AI copilots, virtual assistants and agent-based solutions.
/liliUnderstanding of prompt engineering, agent orchestration frameworks and AI application lifecycle management.
/liliExperience designing scalable AI and data pipelines.
/liliKnowledge of vector databases, embeddings, knowledge retrieval and semantic search concepts.
/li /ulh3Technical Skills /h3ulliHands?on experience with Azure AI Services, Azure OpenAI, Databricks and modern cloud?native architectures.
/liliStrong programming skills in Python and modern software development practices.

/liliExperience working with APIs, integrations, microservices and automation platforms.
/liliFamiliarity with DevOps, MLOps and AIOps practices.
/liliUnderstanding of data governance, cybersecurity and enterprise architecture principles.
/li /ulh3Business Skills /h3ulliAbility to translate business challenges into practical AI solutions.
/liliStrong analytical and problem?solving capabilities.
/liliAbility to prioritize initiatives based on business value and feasibility.
/liliStrong communication skills with both technical and non-technical stakeholders.
/li /ulh3Education /h3ulliBachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science or related fields.
/liliRelevant certifications in Cloud, Data Engineering or Artificial Intelligence are considered a plus.
/li /ulh3Key Competencies /h3ulliStrong innovation mindset and passion for emerging technologies.
/liliAbility to combine technical excellence with business value creation.
/liliStrong stakeholder management and influencing skills.
/liliStructured and analytical problem?solving approach.
/liliAccountability and ownership mindset.
/liliAbility to operate effectively in ambiguous and rapidly evolving environments.
/liliCollaboration and teamwork across global and cross?functional teams.
/liliContinuous learning attitude and intellectual curiosity.
/liliResults?oriented approach focused on delivering measurable outcomes.
/liliStrong communication and storytelling capabilities when explaining AI concepts to business audiences.
/liliFluent English.
/li /ulpThe 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.
/ppThe role is classified in accordance with the collective labor agreement – level 2.
/ppThe position might also include a variable compensation component and a benefits package in line with applicable company policies.
/ph3Our commitment to Diversity Inclusion /h3pAt Campari Group we believe in building more value together, thus we see diversity in all forms as a source of enrichment.
Our 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.
Campari 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.
/ph3Note to applicants /h3pYour 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-*****-Ljbffr

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