ppMSX has been a trusted partner to leading vehicle manufacturers, their retailers, and mobility organizations globally for more than 30 years. Our unwavering commitment is to help our clients transform their businesses and effectively manage operations in the areas of: Sales Performance; Repair Optimization and Compliance; Parts and Accessories Sales Performance; and Consumer Engagement. With our global teams, industry expertise, and the power of technology, we design and deliver tailored, sustainable, and innovative solutions and services that help our clients optimize their operations and captivate their customers. /p h3Job Description /h3 pAs AI Solutions Architect you will be the technical expert responsible for designing scalable, secure, and high-performance blueprints that support turning AI concepts into production-grade enterprise assets. In this role you will bridge the gap between high-level business requirements and AI engineering execution, ensuring that AI-related initiatives are properly evaluated from a technical perspective, architected for value, modularity, scaling and long-term sustainability. /p pThis position focuses on technical design, feasibility evaluation, and architectural integrity, serving as the primary technical authority within the AI Data Center of Excellence, ensuring architectural integrity and enabling structured handover to IT delivery teams for implementation. /p pThis is a senior individual contributor role with strong technical leadership and influence across teams. /p pbYour responsibilities will include /b /p pbArchitectural Blueprinting Design /bbr/Recommend the reference architectures for AI related solutions across the enterprise. /p ul liDesign end-to-end pipelines for Generative AI, Machine Learning, and Agentic workflows. /li liEnsure that AI solutions are modular, reusable, and aligned with enterprise security and compliance standards. /li liRecommend the optimal technical stack for specific business use cases. /li liPartner with AI Data Governance to ensure architectures align with risk, compliance, and lifecycle requirements. /li /ul pbTechnical Feasibility Scoping /bbr/Conduct evaluation of the technical feasibility of AI related initiatives. /p ul liConduct rapid prototyping, POCs, MVPs, to validate AI-specific technical assumptions. /li liSupport defining technical requirements, model dependencies, and integration points for AI related initiatives. /li liCollaborate with Security, Data, and Infrastructure teams to validate architectural assumptions and verify technical fit within the enterprise environment. /li liProvide high‑level effort estimations and resource requirements for AI implementations.



/li /ul pbProduct Definition Scalability /bbr/Support defining what AI models need to move beyond "lab" environments into robust, scalable production systems. /p ul liRecommend optimized architectures for latency, cost‑efficiency (token management), and reliability. /li liAssess cost impact of model choices, inference patterns, and orchestration designs to recommend sustainable options. /li liEstablish patterns for AI safety, bias mitigation, and "Human-in-the-loop" architectural components, ensuring architectural decisions follow the AI governance model, including risk reviews, lifecycle stages, and required documentation. /li /ul pbTechnical Leadership Mentorship /bbr/Act as the "North Star" for tech people involved in the implementation of AI related solutions. /p ul liProvide technical oversight and architecture reviews for AI related projects. /li liMonitor emerging AI patterns (RAG, Fine‑tuning, Multi‑agent systems). /li liCollaborate with the AI Data Transformation Lead to support Value Streams and Support Functions on advisory support for AI uses cases, maintaining and evolving a set of reusable AI architecture patterns and component templates to support enterprise scaling. /li /ul pbTechnology Validation Model Evaluation /bbr/Design and execute the technical assessment of AI models, and emerging technologies to ensure enterprise‑grade performance. /p ul liApply structured LLM validation frameworks to assess model performance, accuracy, safety, and technical suitability. /li liReview external AI products and services from a technical perspective to gauge architectural fit and integration readiness. /li liStay at the forefront of AI research to identify and integrate new technical capabilities (e.g., multimodal models, advanced embedding techniques, reasoning models). /li liEnsure AI related solutions maintain technical flexibility and avoid architectural lock-in through modular design and standardized AI interfaces. /li liMaintain concise architectural documentation that supports decision-making, governance, and auditability. /li /ul h3Success in this role means /h3 ul liAI solutions successfully deployed from concept to production /li liScalable, reusable architecture patterns adopted across the enterprise /li liOptimized cost, performance,



and reliability of AI systems /li liStrong alignment between business needs, engineering delivery, and governance requirements /li /ul h3Qualifications /h3 ul libEducation: /b Bachelor's or Master's Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field is required. Solid foundational knowledge in bMachine Learning and Software Architecture /b is essential. /li libExperience: /b b5+ years of significant experience in designing end-to‑end technical architectures /b for Machine Learning and Generative AI solutions. Proven track record in conducting technical feasibility assessments, rapid prototyping (POCs/MVPs), and bridging business requirements with engineering execution. Experience with enterprise‑scale systems, security standards, and AI governance is critical. /li libSkills: /b Expertise in AI design patterns (such as RAG, Fine‑tuning, and Agentic workflows) and model evaluation frameworks. Strong technical leadership and mentorship abilities, exceptional stakeholder management across cross‑functional teams (Security, Data, Infrastructure), and the capability to optimize architectures for scalability, cost‑efficiency, and reliability. /li libLanguages: /b Professional proficiency in English required. Italian and/or additional European languages are a plus. /li /ul h3Additional Information /h3 pWith over 5,000 employees based in more than 80 countries across the globe, our teams provide industry leading expertise that spans: /p ul liParts, Accessories Service Performance /li liActionable Insights /li liLearning Solutions /li /ul pOur proven track record means that we now partner with almost every car manufacturer on the market. /p pbThe MSX Purpose /b /p pTo empower Movers and Makers to thrive in our ever‑changing world /p pbThe MSX Mission /b /p pTo harness our expertise in mobility, the creativity of our general teams, and the power of technology, to craft tailored, sustainable and innovative solutions. /p pbThe MSX Vision /b /p pTo be the clients' first choice, recognized for our operational excellence and commitment to driving change and innovation in the mobility industry. /p pMSX is an equal opportunities employer and encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, neurodiversity or other personal characteristics and backgrounds, age, sexual orientation, gender reassignment, religion or belief, or marital and parental status. As users of the Disability Confident scheme, we interview all disabled applicants who meet the minimum criteria for the vacancy. /p /p #J-18808-Ljbffr

📌 AI Solutions Architect (Madrid)
🏢 Msx International
📍 Madrid