Asks for

The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“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.”

Company 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.

Job Description

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 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

Preferred experience

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.

Additional Information

CCNL Applicabile: Contratto del Commercio Terziario e Distribuzione Servizi

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

To empower Movers and Makers to thrive in our ever-changing world

The MSX Mission

To harness our expertise in mobility, the creativity of our global teams, and the power of technology, to craft tailored, sustainable and innovative solutions.

The MSX Vision

To be the clients’ first choice, recognized for our operational excellence and commitment to driving change and innovation in the mobility industry.

MSX 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.