AI Solutions Architect

HCL Technologies Limited; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

HCL Technologies Limited is seeking an experienced enterprise architect to lead the design and development of cloud-native web applications with integrated Generative AI capabilities. You will define architectural standards, collaborate with AI/ML and security teams, and ensure robust, scalable solutions across the full development lifecycle.

You will drive GenAI integration, LLM orchestration, and secure coding practices while coordinating with product and DevOps teams to deliver

Qualifications

• Must design cloud-native, scalable architectures using microservices and event-driven patterns.
• Expertise with GenAI techniques, LLM orchestration, embeddings, and vector search.
• Strong experience in REST APIs, security, GDPR/SOC 2 compliance.

Responsibilities

• Lead architecture, design, and development of enterprise-scale web apps with Generative AI.
• Define technical standards and patterns for scalable, secure systems.
• Collaborate with product, AI/ML, DevOps, and security teams for alignment.
• Oversee full-stack lifecycle, ensuring performance, security, and quality.
• Evaluate and integrate AI components into product architecture.

Skills

Cloud-Native Architecture

Microservices

Performance Optimization

GenAI Integration

LLM Orchestration

Frontend Development

DevOps & IaC

Real-Time UI Patterns

Tools

Azure

Redis

Kafka

RabbitMQ

Kubernetes

Docker

OAuth2/SSO

PostgreSQL

MongoDB

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