At a Glance
- Tasks: Design scalable AI solutions and bridge business needs with technical execution.
- Company: Join MSX, a global leader in automotive innovation and technology.
- 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 technology and make a real impact in the automotive industry.
- Qualifications: 5+ years in AI architecture and strong leadership skills required.
The predicted salary is between 72000 - 88000 £ 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.
Locations
AI Solutions Architect in Colchester, Essex employer: MSX International
MSX International is an excellent employer, offering a dynamic work culture that prioritises diversity and inclusion. Located in Warwick, UK, employees benefit from a collaborative environment that fosters professional growth and development, particularly in the rapidly evolving field of AI and data governance. With a commitment to ethical standards and compliance, this role provides meaningful opportunities to make a significant impact in responsible AI management.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solutions Architect in Colchester, Essex
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at MSX International or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to MSX International.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like MSX International.
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We think you need these skills to ace AI Solutions Architect in Colchester, Essex
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at MSX International.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at MSX International and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at MSX International
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If MSX International uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
