AI Solutions Architect
MSX International5 hours ago
Colchester, United KingdomSenior
Responsibilities
- Recommend enterprise reference architectures for AI-related solutions and design end-to-end Generative AI, Machine Learning, and agentic pipelines.
- Evaluate technical feasibility through rapid prototyping, proofs of concept, MVPs, requirements definition, and integration planning.
- Optimize model, inference, orchestration, and token-management architectures for scalability, latency, cost-efficiency, and reliability.
- Establish AI safety, bias mitigation, human-in-the-loop, governance, lifecycle, risk-review, and documentation patterns.
- Provide technical leadership, architecture reviews, mentorship, reusable component templates, and guidance across cross-functional teams.
- Design and execute technical assessments of AI models and emerging technologies, including performance, accuracy, safety, and integration-readiness evaluations.
Requirements
- A bachelor’s or master’s degree in Computer Science, Data Science, Software Engineering, or a related quantitative field is required.
- 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/MVPs, and connecting business requirements with engineering execution.
- Experience with enterprise-scale systems, security standards, and AI governance is critical.
- Expertise in AI design patterns such as RAG, fine-tuning, agentic workflows, and model evaluation frameworks.
- Strong technical leadership, mentorship, stakeholder management, and architecture optimization skills are required.
- 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.