AI Solutions Architect

HCLTech

Greater London, UK

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

Artificial Intelligence Architectural Patterns Microsoft Azure Cloud Engineering Encodings Continuous Integration DevOps PostgreSQL Machine Learning MongoDB OAuth Performance Tuning

+25 more

RabbitMQ Redis E2e Testing Ui Patterns Next.js Search Technologies Secure Coding Management of Software Versions Web Applications WebSocket Modern Ui Spring Cloud ReactJS Large Language Models Prompt Engineering Caching Generative AI Material UI Kubernetes Apache Kafka Front End Software Development Restful APIs Serverless Computing Docker Microservices

Job description

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.

Testing, Observability & Quality Engineering

Competence in automated unit/E2E testing , frontend performance profiling, and monitoring of Deployed solutions

Requirements

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.