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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solutions Architect - **Company:** MSX International Inc. - **Location:** Warwickshire, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Audit Trail, Data Centers, Data Governance, Data Transformation, Software Design Patterns, Machine Learning, Modular Design, Software Architecture, Rapid Prototyping Process, Software Safety, Software Engineering, Large Language Models, Multi-Agent Systems, IT Architecture, Model Validation, Generative AI, Information Technology - **Published:** May 15, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=74d2f2e8f1909099 ## About the Role Do you have experience in Machine learning?, Do you have a Master's degree?, * 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. ## Description 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 ## Related Videos - [Resilient by Design: Building Robust Architectures in High-Stakes Financial Systems](https://www.wearedevelopers.com/videos/2106-resilient-by-design-building-robust-architectures-in-high-stakes-financial-systems) - [The Sustainability Race: AI's Promises, Pitfalls and Potential](https://www.wearedevelopers.com/videos/100155-the-sustainability-race-ai-s-promises-pitfalls-and-potential) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [No Keys for the Robot: GitOps as the Control Plane for Autonomous Agents](https://www.wearedevelopers.com/videos/100095-no-keys-for-the-robot-gitops-as-the-control-plane-for-autonomous-agents) - [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? 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