AI Solutions Architect

Salary: £40,000 - 80,000 per year

Requirements:

• Bachelors or Masters 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.
• 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.
• 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 including Security, Data, and Infrastructure.
• Capability to optimize architectures for scalability, cost-efficiency, and reliability.
• Professional proficiency in English is required; Italian and/or additional European languages are a plus.

Responsibilities:

• We design scalable, secure, and high-performance blueprints that support turning AI concepts into production-grade enterprise assets.
• We bridge the gap between high-level business requirements and AI engineering execution.
• We ensure AI-related initiatives are properly evaluated from a technical perspective and architected for value, modularity, scaling, and long-term sustainability.
• We provide technical authority within the AI & Data Center of Excellence and enable structured handover to IT delivery teams for implementation.
• We recommend reference architectures for AI-related solutions across the enterprise.
• We design end-to-end pipelines for Generative AI, Machine Learning, and Agentic workflows.
• We ensure AI solutions are modular, reusable, and aligned with enterprise security and compliance standards.
• We recommend the optimal technical stack for specific business use cases.
• We partner with AI & Data Governance to ensure architectures align with risk, compliance, and lifecycle requirements.
• We conduct evaluation of the technical feasibility of AI-related initiatives.
• We conduct rapid prototyping, POCs, and MVPs to validate AI-specific technical assumptions.
• We support defining technical requirements, model dependencies, and integration points for AI-related initiatives.
• We collaborate with Security, Data, and Infrastructure teams to validate architectural assumptions and verify technical fit within the enterprise environment.
• We provide high-level effort estimations and resource requirements for AI implementations.
• We support defining what AI models need to move beyond lab environments into robust, scalable production systems.
• We support defining requirements for scaling.
• We recommend optimized architectures for latency, cost-efficiency, and reliability.
• We assess cost impact of model choices, inference patterns, and orchestration designs to recommend sustainable options.
• We establish patterns for AI safety, bias mitigation, and Human-in-the-loop architectural components.
• We ensure architectural decisions follow the AI governance model, including risk reviews, lifecycle stages, and required documentation.
• We act as the North Star for technical teams involved in implementing AI-related solutions.
• We provide technical oversight and architecture reviews for AI-related projects.
• We monitor emerging AI patterns such as RAG, Fine-tuning, and Multi-agent systems.
• We collaborate with the AI & Data Transformation Lead to support Value Streams and Support Functions with advisory support for AI use cases.
• We maintain and evolve reusable AI architecture patterns and component templates to support enterprise scaling.
• We design and execute technical assessments of AI models and emerging technologies to ensure enterprise-grade performance.
• We apply structured LLM validation frameworks to assess model performance, accuracy, safety, and technical suitability.
• We review external AI products and services from a technical perspective to gauge architectural fit and integration readiness.
• We stay at the forefront of AI research to identify and integrate new technical capabilities.
• We ensure AI-related solutions maintain technical flexibility and avoid architectural lock-in through modular design and standardized AI interfaces.
• We maintain concise architectural documentation that supports decision-making, governance, and auditability.

Technologies:

• AI
• Fine-tuning
• Support
• LLM
• Machine Learning
• RAG
• Security
• Architect

More:

MSX has been a trusted partner to leading vehicle manufacturers, their retailers, and mobility organizations globally for more than 30 years. We help our clients transform their businesses and manage operations across 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 operations and captivate customers. We are a global company with over 5,000 employees in more than 80 countries, working across Consumer Engagement, Parts, Accessories & Service Performance, Actionable Insights, Repair Optimization & Compliance, Learning Solutions, and Distribution & Sales Performance. Our purpose is to empower Movers and Makers to thrive in an ever-changing world, and our mission is to harness mobility expertise, global creativity, and technology to craft tailored, sustainable, innovative solutions. We are an equal opportunities employer and encourage applications from suitably qualified and eligible candidates regardless of background, and we interview all disabled applicants who meet the minimum criteria for the vacancy.

last updated 34 week of 2026