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AI Solutions Architect

MSX International

Skills

Required

  • Machine Learning
  • Data Science
  • Software Engineering
  • Software Architecture
  • Generative AI solutions
  • conducting technical feasibility assessments
  • POCs / MVPs
  • AI governance

Preferred

  • AI
  • Generative AI
  • Architectural Blueprinting
  • design end-to-end pipelines
  • AI solution implementation

Join MSX, a global leader in mobility solutions, as an AI Solutions Architect. In this senior individual contributor role, you will design scalable and secure AI architectures, evaluate technical feasibility, and provide technical leadership and mentorship. You will bridge the gap between business requirements and engineering execution, ensuring that AI initiatives are properly evaluated and architected for long-term sustainability.

About MSX International

With over 5,000 employees based in more than 80 countries across the globe, our teams provide industry leading expertise that spans:

Consumer Engagement

  • Our proven track record means that we now partner with almost every car manufacturer on the market.
  • To empower Movers and Makers to thrive in our ever-changing world
  • To harness our expertise in mobility, the creativity of our global teams, and the power of technology, to craft tailored, sustainable and innovative solutions.
  • To be the clients’ first choice, recognized for our operational excellence and commitment to driving change and innovation in the mobility industry.

Responsibilities

  • Architectural Blueprinting & Design: Recommend reference architectures for AI solutions, design end-to-end pipelines for Generative AI and Machine Learning.
  • Technical Feasibility & Scoping: Conduct evaluations of the technical feasibility of AI initiatives, support defining technical requirements and integration points.
  • Technical Leadership & Mentorship: Act as the "North Star" for tech people involved in AI solution implementation, provide technical oversight and architecture reviews.
  • Parts, Accessories & Service Performance
  • Actionable Insights
  • Repair Optimization & Compliance
  • Learning Solutions

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.

Distribution & Sales Performance

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.