AI Solutions Architect

Responsibilities

• Design end-to-end pipelines for Generative AI, Machine Learning, and Agentic workflows
• Recommend reference architectures for AI related solutions across the enterprise
• Conduct technical feasibility evaluations, rapid prototyping, POCs, and MVPs
• Partner with AI & Data Governance to ensure alignment with risk and compliance
• Optimize architectures for latency, cost-efficiency, and reliability
• Provide technical oversight and architecture reviews for AI related projects
• Apply structured LLM validation frameworks to assess model performance and safety
• Maintain concise architectural documentation for governance and auditability

Requirements

• Bachelor’s or Master’s Degree in Computer Science, Data Science, Software Engineering, or a related field
• 5+ years of experience designing end-to-end technical architectures for Machine Learning and Generative AI
• Expertise in AI design patterns including RAG, Fine-tuning, and Agentic workflows
• Proven track record in conducting technical feasibility assessments and rapid prototyping
• Strong technical leadership and stakeholder management skills
• Professional proficiency in English

Preferred Qualifications

• Knowledge of Italian or other European languages

About the Company

MSX has been a trusted partner to leading vehicle manufacturers, their retailers, and mobility organizations globally for more than 30 years, helping clients transform operations in sales performance, repair optimization, and consumer engagement.