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- Tasks: Design scalable AI solutions and bridge business needs with technical execution.
- Company: Join MSX, a global leader in mobility solutions with over 30 years of experience.
- 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 mobility industry.
- Qualifications: 5+ years in AI architecture and strong leadership skills required.
The predicted salary is between 70000 - 90000 £ 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.
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
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 Colchester employer: MSX International
Contact Detail:
MSX International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions Architect in Colchester
✨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 or GitHub repository showcasing your AI projects. 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 case studies related to AI solutions. Practice explaining your thought process clearly and confidently – it’s all about demonstrating your expertise!
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Solutions Architect in Colchester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Solutions Architect role. Highlight your experience with AI design patterns and technical architecture, as this will show us you understand what we're looking for.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Include specific examples of projects where you've designed scalable AI solutions or conducted feasibility assessments. We want to see your hands-on experience!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate straightforward communication that gets to the heart of your qualifications.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at MSX International
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI design patterns and technologies. Brush up on your knowledge of Generative AI, Machine Learning, and architectural frameworks. Being able to discuss these topics confidently will show that you’re not just familiar with the concepts but can also apply them practically.
✨Prepare Real-World Examples
Think of specific projects where you've designed scalable AI solutions or conducted feasibility assessments. Be ready to share how you approached challenges, what decisions you made, and the outcomes. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Business Side
Since this role bridges technical and business requirements, it’s crucial to understand how AI can drive value for the company. Familiarise yourself with MSX's mission and vision, and think about how your expertise can align with their goals. This will help you articulate your fit for the role.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company and the role. Inquire about their current AI initiatives, challenges they face, or how they measure success in AI projects. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.