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# AI Solutions Architect - up to 120K+Benefits - Hybrid/London

- **Company:** Involved Solutions LTD.
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £120,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Architectural Patterns, User Authentication, Information Engineering, Data Infrastructure, Data Stores, DevOps, Identity and Access Management, Python (Programming Language), Machine Learning, Web Application Frameworks, Enterprise Application Integration, Large Language Models, Model Validation, Generative AI, Backend, Event Driven Architecture, Infrastructure Automation Frameworks, Graphql, Machine Learning Operations, Elastic Beanstalk, Serverless Computing, Microservices
- **Published:** August 29, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2944656250-2

## About the Role

domains to support diverse use cases and enterprise contexts Align solutions with established enterprise standards and architectural principles Essential Skills for the AI Solutions Architect: Strong expertise in Python and JavaScript Hands-on experience with backend frameworks and modern frontend frameworks Deep knowledge of Generative AI and agent-based AI frameworks including RAG and orchestration patterns Strong experience working with vector databases and AI-specific data stores Solid understanding of AI and ML models, LLMs and generative AI architectures Experience implementing governance frameworks for model selection, deployment and lifecycle management Hands-on experience with AI-assisted development tools Strong knowledge of cloud AI and ML platforms and associated architecture patterns Experience designing and managing APIs including REST and GraphQL Strong understanding of microservices and serverless architectures Practical experience with DevOps and MLOps practices
including CI/CD pipelines Knowledge of security frameworks, identity management and authentication standards Desirable Skills for the AI Solutions Architect: Experience with enterprise integration patterns and event-driven architectures Exposure to data engineering and data platform architectures Experience with Infrastructure as Code tools If you are an AI Solutions Architect with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance.

## Description

Reference: BBBH3712_1770398629AI Solutions Architect (Innovation & GenAI)Salary: Up to 120,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: 40 hours per week A globally established organisation is seeking an AI Solutions Architect to lead the design of innovative, cloud-native AI architectures that support rapid experimentation while maintaining a clear path to enterprise-scale delivery. This is a senior, hands-on architecture role focused on shaping proof-of-concepts, MVPs and scalable AI platforms that deliver tangible business value. The AI Solutions Architect role is suited to an experienced architect who combines deep technical expertise with strategic thinking, enjoys working in fast-moving environments, and can guide teams from early ideation through to production-ready solutions. Responsibilities for the AI Solutions Architect: Design pragmatic, fit-for-purpose architectures for AI PoCs and MVPs that can be delivered within short innovation
cycles while remaining production-aware Provide technical leadership during client workshops, discovery sessions and ideation phases, assessing feasibility in real time Develop and maintain reusable reference architectures, patterns and templates to accelerate AI solution delivery Evaluate emerging AI tools, platforms and services, making informed build-versus-buy decisions Design cloud-native architectures using serverless and PaaS services to enable rapid deployment, cost control and scalability Define lightweight integration approaches connecting AI solutions with enterprise data sources, systems and APIs Establish security, governance and compliance standards for rapid AI development, ensuring data protection and responsible use Design AI architectures with clear pathways to production scaling, documenting trade-offs and technical decisions Mentor engineers and developers through architectural guidance, reviews and best-practice sharing Build architectural knowledge across multiple


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