Global Ai Engineering

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