Global ai engineering

Mission Statement Campari 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 2001. Campari Group is today the sixth-largest player worldwide in the premium spirits industry. General Description Of The Role Within 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.

Key Responsibilities
And Activities AI Solutions Design & Development Design, develop and deploy Generative AI applications, intelligent assistants and AI agents to support business processes and decision-making. Translate business requirements into scalable AI architectures and technical solutions. Develop reusable AI components, prompts, workflows and orchestration frameworks that can be leveraged across multiple functions and markets. Contribute to the evolution of a standardized and scalable AI application architecture. Agentic AI Enablement Design and implement AI agents capable of executing multi-step workflows and interacting with enterprise systems. Support the development of autonomous and semi-autonomous AI solutions that augment employees and automate knowledge-intensive activities. Contribute to the definition and implementation of agent orchestration, reasoning and monitoring frameworks. Identify opportunities to increase process efficiency through Agentic AI capabilities. Enterprise Integration & Automation Integrate AI solutions with enterprise applications, data platforms and collaboration tools. Collaborate with Data Platform, Enterprise Architecture and Application teams to ensure seamless integration and scalability. Support the development of API-based integrations and automation workflows that enable AI solutions to operate effectively within the enterprise ecosystem. Ensure interoperability between AI, Automation and Data & Analytics platforms. AI Governance, Security & Reliability Implement AI governance principles, security controls and monitoring mechanisms in line with company standards and compliance requirements. Ensure AI solutions are reliable, scalable, explainable and aligned with responsible AI principles. Monitor AI application performance and continuously optimize solution effectiveness and user adoption. Support the establishment of AI engineering standards, best practices and development frameworks. Stakeholder Partnership & Value Realization Collaborate closely with business stakeholders to identify, prioritize and deliver high-value AI use cases. Support business functions in assessing feasibility, business value and implementation approaches for AI initiatives. Drive the industrialization of proofs of concept and pilots into production-ready solutions. Contribute to measuring business impact, adoption and value realization from AI investments Innovation & Continuous Improvement Stay informed about emerging AI technologies, frameworks and industry trends. Evaluate new tools, models and platforms that can strengthen the company's AI capabilities. Promote AI knowledge sharing and support capability-building initiatives across the organization. Contribute to strengthening Campari Group's internal AI engineering capabilities while reducing dependency on external partners Required Skills And Experience Experience & Background 5+ years of experience in Software Engineering, Data Engineering, Machine Learning Engineering or AI Engineering roles. Proven experience developing and deploying AI, Machi