Ai Solutions Architect

Experteer Overview In 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 u**amp; 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.Compensaciones / Beneficios- Architectural blueprinting and reference design for AI solutions across the enterprise- Design end-to-end Generative AI, ML, and agentic workflows- Ensure modular, secure, and compliant architectures with enterprise standards- Recommend optimal tech stacks and scalable patterns; align with governance and lifecycle requirements- Lead technical feasibility assessments, rapid prototyping (POCs/MVPs), and integration planning- Provide architecture reviews, oversight, and mentorship; act as North Star for technical teams- Stay abreast of AI patterns (RAG, fine-tuning, multi-agent systems) and validate models and new tech- Maintain concise architectural documentation to support decision-making, governance, and auditabilityResponsabilidades- Bachelor’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 InfrastructureRequisitos principales-

Bachelor’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 InfrastructureRequisitos principales