AI Solutions Architect

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 with risk, compliance, and lifecycle requirements.
• Technical Feasibility & Scoping Conduct evaluation of the technical feasibility of AI related initiatives.
• Conduct rapid prototyping, POCs, MVPs, to validate AI-specific technical assumptions.
• Support defining technical requirements, model dependencies, and integration points for AI related initiatives.
• Collaborate with Security, Data, and Infrastructure teams to validate architectural assumptions and verify technical fit within the enterprise environment.
• Provide high-level effort estimations and resource requirements for AI implementations.
• Product Definition & Scalability Support defining what AI models need to move beyond "lab" environments into robust, scalable production systems.
• Support defining requirements for scaling
• Recommend optimized architectures for latency, cost-efficiency (token management), and reliability.
• Assess cost impact of model choices, inference patterns, and orchestration designs to recommend sustainable options.
• Establish 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.
• Technical Leadership & Mentorship Act as the "North Star" for tech people involved in the implementation of AI related solutions.
• Provide technical oversight and architecture reviews for AI related projects.
• Monitor emerging AI patterns (RAG, Fine-tuning, Multi-agent systems).
• Collaborate 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.
• Technology Validation & Model Evaluation Design and execute the technical assessment of AI models, and emerging technologies to ensure enterprise-grade performance.
• Apply structured LLM validation frameworks to assess model performance, accuracy, safety, and technical suitability.
• Review external AI products and services from a technical perspective to gauge architectural fit and integration readiness.
• Stay at the forefront of AI research to identify and integrate new technical capabilities (e.g., multimodal models, advanced embedding techniques, reasoning models).
• Ensure AI related solutions maintain technical flexibility and avoid architectural lock-in through modular design and standardized AI interfaces.
• Maintain concise architectural documentation that supports decision-making, governance, and auditability.
• Success in this role means: • AI solutions successfully deployed from concept to production • Scalable, reusable architecture patterns adopted across the enterprise • Optimized cost, performance, and reliability of AI systems • Strong alignment between business needs, engineering delivery, and governance requirements
• Education: Bachelor’s or Master’s Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field is required. Solid foundational knowledge in Machine Learning and Software Architecture is essential.
• Experience: 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 is critical.
• Skills: 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.
• Languages: Professional proficiency in English required ; Italian and/or additional European languages are a plus.
• With over 5,000 employees based in more than 80 countries across the globe, our teams provide industry leading expertise that spans:
• Consumer Engagement
• Parts, Accessories & Service Performance
• Actionable Insights
• Repair Optimization & Compliance
• Learning Solutions
• Distribution & Sales Performance
• Our proven track record means that we now partner with almost every car manufacturer on the market.

The MSX Purpose

The MSX Mission

The MSX Vision