Global AI Engineering

Overview

In this role, you will design, develop and scale AI-powered solutions that boost productivity and automate knowledge work across Campari Group. You'll bridge business needs with data and technology to deliver enterprise-ready AI applications, intelligent assistants and autonomous agents. You'll help build an enterprise-wide AI ecosystem, ensuring secure, reusable and high-impact deployments. This is a hands-on, cross-functional impactful role in a global company.

Retribuzione / Benefits

• Salary range 50K-62K base + 10% STI
• Potential variable compensation
• Benefits package per company policies
• Collective labor agreement – level 2
• Diversity & inclusion policies
• Fair Pay Certification

Responsabilità

• Design, develop and deploy Generative AI applications, intelligent assistants and AI agents for business processes
• Translate requirements into scalable AI architectures and reusable components
• Contribute to a standardized, scalable AI application architecture
• Design and implement AI agents capable of multi-step workflows interacting with enterprise systems
• Support autonomous AI solutions that augment employees and automate knowledge work
• Define and implement agent orchestration, reasoning and monitoring frameworks
• Integrate AI solutions with enterprise applications, data platforms and collaboration tools
• Collaborate with Data Platform, Enterprise Architecture and Application teams for seamless integration
• Implement AI governance, security controls and monitoring aligned with company standards
• Monitor AI performance and optimize adoption and value realization
• Collaborate with stakeholders to identify and deliver high-value AI use cases
• Industrialize proofs of concept and pilots into production-ready solutions
• Stay updated on AI technologies and promote capability-building across the organization
• Strengthen internal AI engineering capabilities while reducing dependency on external partners

Requisiti fondamentali

• 5+ years in Software, Data, ML, or AI Engineering roles
• Proven experience deploying AI/ML/Generative AI in enterprise environments
• Experience with cloud-based AI ecosystems and modern data platforms
• Track record of delivering scalable applications from concept to production
• Experience collaborating with cross-functional teams in international organizations
• Strong knowledge of Generative AI architectures, LLMs and RAG patterns
• Experience building AI copilots, virtual assistants and agent-based solutions
• Understanding of prompt engineering, orchestration frameworks and AI lifecycle management
• Experience designing scalable AI and data pipelines
• Knowledge of vector databases, embeddings, knowledge retrieval and semantic search concepts
• Hands-on with Azure AI Services, Azure OpenAI, Databricks
• Strong programming skills in Python, APIs, microservices, automation platforms
• Familiarity with DevOps, MLOps and AIOps
• Understanding of data governance, cybersecurity and enterprise architecture
• Excellent communication with both technical and non-technical stakeholders
• Strong analytical and problem-solving abilities
• Stakeholder management and influencing skills
• Generative AI architectures
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)