Ai Solutions Architect - Msx International

OverviewIn this senior, individual-contributor role you will design scalable, secure AI blueprints for enterprise use, bridging business needs with engineering execution.You will act as the primary technical authority within the AI & Data Center of Excellence, ensuring modular and sustainable architectures and guiding handovers to IT delivery teams.You’ll shape end-to-end AI pipelines, governance-aligned patterns, and reusable templates that scale across the enterprise.This is a hands-on, impact-focused position at the intersection of technology strategy and delivery, ideal for driving AI transformation in a global, automotive context.ResponsabilidadesArchitectural blueprinting and reference design for AI solutions across the enterpriseDesign end-to-end Generative AI, ML, and agentic workflowsEnsure modular, secure, and compliant architectures with enterprise standardsRecommend optimal tech stacks and scalable patterns; align with governance and lifecycle requirementsLead technical feasibility assessments, rapid prototyping (POCs/MVPs), and integration planningProvide architecture reviews, oversight, and mentorship; act as North Star for technical teamsStay abreast of AI patterns (RAG, fine-tuning, multi-agent systems) and validate models and new techMaintain concise architectural documentation to support decision-making, governance, and auditabilityRequisitos principalesBachelor’s or Master’s in Computer Science, Data Science, Software Engineering, or related quantitative field5+ years designing end-to-end ML/Generative AI architecturesProven experience with feasibility assessments, POCs/MVPs, and bridging business and engineeringExperience with enterprise-scale systems, security standards, and AI governanceExpertise in AI design patterns (RAG, fine-tuning, agentic workflows) and model evaluation frameworksStrong technical leadership, mentorship, and stakeholder management across Security, Data, and Infrastructurestrong communicationstakeholder managementtechnical leadershipArchitectural blueprinting for AI; Generative AI and ML pipelinesModular, reusable architecture patterns; AI governance and risk managementSecurity and compliance integration in AI architectures

Requisitos principalesBachelor’s or Master’s in Computer Science, Data Science, Software Engineering, or related quantitative field 5+ years designing end-to-end ML/Generative AI architectures Proven experience with feasibility assessments, POCs/MVPs, and bridging business and engineering Experience with enterprise-scale systems, security standards, and AI governance Expertise in AI design patterns (RAG, fine-tuning, agentic workflows) and model evaluation frameworks Strong technical leadership, mentorship, and stakeholder management across Security, Data, and Infrastructure strong communication stakeholder management technical leadership Architectural blueprinting for AI; Generative AI and ML pipelines Modular, reusable architecture patterns; AI governance and risk management Security and compliance integration in AI architectures