At a Glance
- Tasks: Design scalable AI solutions and bridge business needs with technical execution.
- Company: Join a global leader in mobility solutions with over 30 years of expertise.
- Benefits: Competitive salary, diverse team, and opportunities for professional growth.
- Other info: Dynamic work environment with a commitment to diversity and inclusion.
- Why this job: Be at the forefront of AI innovation and make a real impact in the industry.
- Qualifications: 5+ years in AI architecture and strong leadership skills required.
The predicted salary is between 80000 - 100000 € per year.
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 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.
- 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.
Qualifications
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.
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.
AI Solutions Architect in Warwick employer: MSX International
At MSX, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and mentorship from industry leaders, particularly in the exciting field of AI solutions. Located in a global hub for mobility, we provide our team with the chance to work on cutting-edge projects that make a real impact in the automotive industry, all while promoting diversity and inclusion in the workplace.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solutions Architect in Warwick
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, prototypes, or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to AI architecture. Practice explaining your thought process clearly, as communication is key in bridging business needs with tech solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at MSX.
We think you need these skills to ace AI Solutions Architect in Warwick
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI solutions and technical architecture. We want to see how your skills align with the role of AI Solutions Architect, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Expertise:In your application, emphasise your knowledge in machine learning, generative AI, and architectural design patterns. We’re looking for someone who can bridge business needs with engineering execution, so let us know how you’ve done this in the past!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to describe your achievements and experiences. We appreciate a well-structured application that makes it easy for us to see your qualifications.
Apply Through Our Website:We encourage you to submit your application directly through our website. This way, you’ll ensure it reaches the right people and you’ll be part of our streamlined process. Plus, it’s super easy to do!
How to prepare for a job interview at MSX International
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI design patterns and architectures. Be ready to discuss specific examples of how you've designed scalable solutions in the past, especially around Generative AI and Machine Learning. This will show that you can bridge the gap between business needs and technical execution.
✨Prepare for Technical Questions
Expect to dive deep into technical feasibility assessments and architectural integrity. Prepare to explain your thought process when evaluating AI initiatives and how you ensure compliance with security standards. Practising common technical interview questions can help you articulate your expertise clearly.
✨Showcase Your Leadership Skills
As a senior role, they’ll be looking for strong technical leadership. Be ready to share experiences where you’ve mentored others or led projects. Highlight how you’ve collaborated with cross-functional teams to deliver successful AI solutions, as this demonstrates your ability to influence and guide others.
✨Stay Current with AI Trends
Keep yourself updated on the latest trends and technologies in AI. Discuss any recent advancements or research that excite you and how they could apply to the role. This shows your passion for the field and your commitment to continuous learning, which is crucial for a position like this.
