AI Solutions Architect at HCLTech
Dublin, Dublin County, Ireland -
Full Time


Start Date

Immediate

Expiry Date

19 Jan, 27

Salary

98000.0

Posted On

21 Oct, 26

Experience

20 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description
  • Key ResponsibilitiesLead 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.
  1. Mandatory Technical SkillsCloud-Native Architecture & Microservices
  2. Proven experience designing scalable, cloud-native applications using microservices and event-driven patterns on Azure Ecosystem.
  3. Performance Optimization
  4. Implementing caching strategies (Redis, CDN), asynchronous job processing (RabbitMQ, Kafka), and load-balanced architectures using Kubernetes or serverless platforms.GenAI Integration & LLM Orchestration
  5. Hands-on with Generative AI technologies—Azure OpenAI, prompt engineering, RAG pipelines, embeddings, and vector search (e.g., Azure AI search, Azure PostgreSQL etc..).
  6. Backend Engineering (APIs, Data, Security)
  7. Strong expertise in REST APIs with versioning, throttling, and gateway integrations., PostgreSQL/MongoDB, OAuth2/SSO, and secure coding aligned with GDPR/SOC2 standards.
  8. Frontend Development (React/Next.js)
  9. Deep experience building enterprise-grade UIs using React.JS, component libraries, and modern design systems.
  10. DevOps & Infrastructure as Code
  11. Proficiency in Azure CI/CD pipelines , Docker, and Kubernetes for automated, scalable deployments.
  12. Real-Time & Scalable UI Patterns
  13. Experience with WebSockets/SSE, UI performance optimization, and handling large-scale dynamic frontends.

Testing, Observability & Quality EngineeringCompetence in automated unit/E2E testing , frontend performance profiling, and monitoring of Deployed solutions

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Responsibilities
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