AI Solutions Architect

Responsibilities

• Design end-to-end pipelines for Generative AI, Machine Learning, and Agentic workflows
• Recommend reference architectures for AI solutions across the enterprise
• Conduct technical feasibility evaluations, rapid prototyping, and POCs/MVPs
• Optimize architectures for latency, cost-efficiency, and reliability
• Establish patterns for AI safety, bias mitigation, and human-in-the-loop components
• Provide technical oversight and architecture reviews for AI projects
• Apply LLM validation frameworks to assess model performance and accuracy
• 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 quantitative 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 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
• Experience with enterprise-scale systems and AI governance standards

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.