AI Solutions Architect

Stack

Responsibilities

• ▹Recommend 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
• ▹Evaluate the technical feasibility of AI-related initiatives
• ▹Conduct rapid prototyping, POCs and 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
• ▹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 the 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
• ▹Act as the North Star for tech people involved in implementing 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 with advisory support for AI use cases, maintaining and evolving a set of reusable AI architecture patterns and component templates to support enterprise scaling
• ▹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

Requirements

• ▹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 designing end-to-end technical architectures for Machine Learning and Generative AI solutions
• ▹Proven track record in 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
• ▹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)
• ▹Capability to optimize architectures for scalability, cost-efficiency and reliability
• ▹Professional proficiency in English

Nice to have

• ▹Italian and/or additional European languages

Soft skills

About the company

MSX has been a trusted partner to leading vehicle manufacturers, their retailers and mobility organizations globally for more than 30 years, with over 5,000 employees in more than 80 countries. It delivers solutions in sales performance, repair optimization and compliance, parts and accessories sales performance, and consumer engagement.