MSX International

vehicle manufacturers, retailers, and mobility organizations

AISolutionsArchitect

Madrid, Spain FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“AI Solutions Architect at MSX International. Skills: AI Solutions Architecture, Machine Learning, Generative AI, Technical Design, Scalability, Cost-efficiency, Reliability. Designing scalable, secure, and high-performance blueprints. Bridging the gap between high-level business requirements and AI engineering execution”

What You'll Achieve.

AI solutions successfully deployed from concept to production; Scalable, reusable architecture patterns adopted across the enterprise; Optimized cost, performance, and reliability of AI systems; alignment between business needs, engineering delivery, and governance requirements

Industry & Context.

vehicle manufacturers, retailers, and mobility organizations
Problems you'll solve

technical feasibility evaluation; architectural integrity; optimizing architectures for scalability, cost-efficiency, and reliability

What They're Looking For.

Must Have

Bachelor’s or Master’s Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field, Solid foundational knowledge in Machine Learning and Software Architecture, 5+ years of significant experience in designing end-to-end technical architectures 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, Expertise in AI design patterns (such as RAG, Fine-tuning, and Agentic workflows) and model evaluation frameworks, technical leadership and mentorship abilities, exceptional stakeholder management across cross-functional teams (Security, Data, Infrastructure), the capability to optimize architectures for scalability, cost-efficiency, and reliability, Professional proficiency in English

Nice to Have

Italian and/or additional European languages are a plus

What You'll Do.

and high-performance blueprints

Bridging the gap between high-level business requirements and AI engineering execution

Evaluating AI-related initiatives from a technical perspective

Architecting for value

scaling and long-term sustainability

feasibility evaluation

and architectural integrity

Recommending reference architectures for AI related solutions

Designing end-to-end pipelines for Generative AI

and Agentic workflows

Ensuring AI solutions are modular

and aligned with enterprise security and compliance standards

Recommending the optimal technical stack for specific business use cases

Partnering with AI & Data Governance

Conducting evaluation of the technical feasibility of AI related initiatives

Conducting rapid prototyping

to validate AI-specific technical assumptions

Supporting defining technical requirements

and integration points

Collaborating with Security

and Infrastructure teams

Providing high-level effort estimations and resource requirements

Supporting defining what AI models need to move beyond 'lab' environments into robust

scalable production systems

Supporting defining requirements for scaling

Recommending optimized architectures for latency

cost-efficiency (token management)

Assessing cost impact of model choices

and orchestration designs

Establishing patterns for AI safety

and 'Human-in-the-loop' architectural components

Providing technical oversight and architecture reviews for AI related projects

Monitoring emerging AI patterns (RAG

Collaborating with the AI & Data Transformation Lead

Designing and executing the technical assessment of AI models

and emerging technologies

Applying structured LLM validation frameworks

Reviewing external AI products and services from a technical perspective

Staying at the forefront of AI research

Ensuring AI related solutions maintain technical flexibility and avoid architectural lock-in

Maintaining concise architectural documentation

How You'll Work.

Team & Collaboration

Partner with AI & Data Governance; Collaborate with Security, Data, and Infrastructure teams; Collaborate with the AI & Data Transformation Lead; stakeholder management across cross-functional teams (Security, Data, Infrastructure)

Communication Scope

Professional proficiency in English

Process & Methodology

high-level effort estimations, resource requirements

Full Job Description

MSX 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. As 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. This 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. This is a senior individual contributor role with strong technical leadership and influence across teams. Your responsibilities will include Architectural Blueprinting & Design Recommend the reference architectures for AI related solutions across the enterprise. * Design end-to-end pipelines for Generative AI, Machine Learning, and Agentic workflows. * Ensure that AI solutions are modular, reusable, and aligned with enterprise security and compliance standards. * Recommend the optimal technical stack for specific business use cases. * Partner with AI & Data Governance to ensure architectures align wi

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