Technical Architect, Data and AI

Technical Architect (Data/AI): Advising clients and building production-ready AI systems, with an accent on integrating modern data solutions and AI technologies to create business value. Focus on designing and implementing end-to-end AI systems, including RAG pipelines, agentic architectures, and real-time inference services for digital products. Location:

Based in Milan, Italy

with willingness to travel internationally for key meetings and collaboration sessions. Company

frog is a global innovation and creative consultancy focused on delivering breakthrough products and experiences across digital and physical realities, as part of Capgemini Invent. What you will do

Act as a trusted advisor, framing business and product challenges into actionable AI and data architectures. Design and implement end-to-end AI systems, including data flows, RAG pipelines, agentic architectures, and real-time inference services. Shape proposals, architectures, and delivery approaches for client opportunities, partnering with sales teams. Oversee the delivery of AI applications, ensuring architectural quality, performance, and integration with user-facing digital products. Track emerging AI technologies and architectural patterns, contributing to frog offerings and thought leadership. Collaborate with UX, Product, Strategy, and Engineering teams from discovery to deployment to align AI capabilities with user experience and technical constraints. Requirements

5+ years of experience

in data, AI, cloud, or technology consulting. Hands-on experience designing and implementing cloud-native AI solutions on Azure, AWS, or GCP, using modern serverless and containerized deployment patterns. Proven experience architecting and building production-grade AI applications (e.g., conversational experiences, content generation, personalization, recommender systems). Strong understanding of modern data architectures (event-driven pipelines, data lakes, real-time processing, API-first architectures). Leadership experience, guiding in-house or external teams of engineers or data/ML practitioners. Fluency in English (B2+) . Willingness to travel internationally

for key meetings and collaboration sessions. Nice to have

Master’s degree in computer science, engineering, or related fields. Experience driving pre-sales conversations and scoping AI initiatives. Comfort operating across strategy and engineering, able to switch between conceptual business framing and hands-on problem solving. Ability to define AI strategies and execute them from discovery through delivery. Knowledge of modern frameworks for web (React, Vue, Angular) or mobile (React Native, Flutter, Swift/Kotlin) development. Culture & Benefits

Flat and open environment promoting curiosity, experimentation, cultural cross-pollination, and collaboration. Culture is open, flexible, inclusive, and engaging. Empowerment to Make Your Mark on every project, studio, community, and the world. Work/Life Harmony policy to support flexible work and work-life balance. Global leader in CX Strategy with a focus on innovation for people and planet.

#J-18808-Ljbffr