AI Solutions Architect
MSX International5 months ago
Rome, ItalySenior
Responsibilities
- Recommend enterprise reference architectures for AI-related solutions and design end-to-end Generative AI, Machine Learning, and agentic pipelines.
- Evaluate technical feasibility, conduct POCs and MVPs, define technical requirements and integration points, and estimate implementation effort and resources.
- Optimize AI architectures for scalability, latency, cost efficiency, token management, reliability, and long-term sustainability.
- Ensure architectures align with security, compliance, AI governance, risk reviews, lifecycle requirements, and auditability.
- Provide technical oversight, architecture reviews, leadership, and mentorship for AI implementation teams.
- Design and execute assessments of AI models and emerging technologies for performance, accuracy, safety, technical suitability, and integration readiness.
- Maintain reusable AI architecture patterns, component templates, standardized interfaces, and concise architectural documentation.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, or a related quantitative field.
- 5+ years of significant experience designing end-to-end technical architectures for Machine Learning and Generative AI solutions.
- Proven experience conducting technical feasibility assessments, rapid prototyping, POCs or MVPs, and connecting business requirements with engineering execution.
- Experience with enterprise-scale systems, security standards, and AI governance.
- Expertise in AI design patterns including RAG, fine-tuning, and agentic workflows, as well as model evaluation frameworks.
- Strong technical leadership, mentorship, stakeholder management, and architecture optimization skills.
- Professional proficiency in English is required; Italian or additional European languages are a plus.
Categories
About MSX International
MSX International provides consulting, managed services, and digital tools to automotive OEMs and mobility companies to optimize dealer networks, aftersales, warranty management, repair operations, technical information, learning, and customer engagement. The company is headquartered in Detroit, Michigan, and is owned by Bain Capital. Its business model combines outsourced operational programs with data-driven software and process expertise for global automotive retail and service performance.