AI Solutions Architect

London Source: WhatJobs

£120,000–£180,000

Lead the architecture, design, and development of enterprise-scale web applications with integrated Generative AI capabilities.
Define technical standards, architectural patterns, and best practices for scalable and secure software systems.
Collaborate with product, AI/ML, DevOps, and security teams to ensure alignment between business goals and technical execution.
Oversee full-stack development lifecycle, ensuring robust design, performance tuning, and security compliance.
Evaluate and integrate AI components such as LLMs, embedding services, and vector databases into product architecture.

Mandatory Technical Skills

Cloud-Native Architecture & Microservices
Proven experience designing scalable, cloud-native applications using microservices and event-driven patterns on Azure Ecosystem.
Performance Optimization

Implementing caching strategies (Redis, CDN), asynchronous job processing (RabbitMQ, Kafka), and load-balanced architectures using Kubernetes or serverless platforms.

GenAI Integration & LLM Orchestration
Hands-on with Generative AI technologies—Azure OpenAI, prompt engineering, RAG pipelines, embeddings, and vector search (e.g., Azure AI search, Azure PostgreSQL etc..).
Strong expertise in REST APIs with versioning, throttling, and gateway integrations., PostgreSQL/MongoDB, OAuth2/SSO, and secure coding aligned with GDPR/SOC2 standards.
Frontend Development (React/Next.js)
Deep experience building enterprise-grade UIs using React.JS, component libraries, and modern design systems.
DevOps & Infrastructure as Code
Proficiency in Azure CI/CD pipelines , Docker, and Kubernetes for automated, scalable deployments.
Real-Time & Scalable UI Patterns
Experience with WebSockets/SSE, UI performance optimization, and handling large-scale dynamic frontends.