27 set - Monza
Msx International
In this role you will define scalable, secure AI architectures and act as the technical authority for AI initiatives across the enterprise. You will translate business needs into production-grade solutions, ensuring modularity, security, and governance. Working within the AI & Data Center of Excellence, you'll steer feasibility, design patterns, and handover to delivery teams for scalable deployment. You will shape patterns and templates to enable enterprise-wide AI adoption while balancing cost and performance.
Sebbene l'esperienza qualificato e le qualifiche siano fondamentali per questo ruolo, si assicuri di verificare di possedere le soft skill preferenziali, se richieste, prima di candidarsi.
Architectural blueprinting and end-to-end design for Generative AI, ML, and agentic workflows
Ensure modular, reusable architectures aligned with security and compliance standards
Recommend optimal technical stacks and scalable patterns across the enterprise
Evaluate technical feasibility, run rapid prototyping (POCs/MVPs), and define integration points
Support production-grade deployment with attention to latency, cost-efficiency, and reliability
Provide technical oversight, architecture reviews,
and mentorship to cross-functional teams
Maintain governance-aligned documentation and AI safety, bias mitigation, and human-in-the-loop patterns
Stay updated on AI patterns (RAG, fine-tuning, multi-agent systems) and validate new capabilities
Bachelor's or Master's Degree in Computer Science, Data Science, Software Engineering, or related quantitative field
5+ years designing end-to-end ML and Generative AI architectures
Proven experience with feasibility assessments, rapid prototyping, and bridging business and engineering
Experience with enterprise-scale systems, xrdztoy security standards, and AI governance
Expertise in AI design patterns (RAG, fine-tuning, agentic workflows) and model evaluation frameworks
Strong technical leadership, stakeholder management across Security, Data, and Infrastructure
English professional proficiency; Italian or other European languages a plus
leadership
collaboration across cross-functional teams
AI design patterns (RAG, fine-tuning, agentic workflows)
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