Enterprise GenAI & Cloud Solutions Architect

HCLTech; Dublin; Hybrid; EUR 120,000 - 190,000; Full time

Job summary

HCLTech in Ireland seeks an AI Solution Architect – Cloud, Data, AI/GenAI & Enterprise Transformation to act as a strategic technology leader guiding enterprise-scale cloud and GenAI transformations across BFSI clients, bridging CxO advisory with hands-on engineering.

You will design multi-region, secure, scalable cloud-native architectures, champion Zero Trust, implement MLOps, and lead end-to-end modernization and migration programs, including GenAI production deployment at scale.

Qualifications

• 10-14 years of enterprise IT, architecture and digital transformation.
• Enterprise AI/GenAI implementations experience.
• Strong exposure to BFSI domain preferred.

Responsibilities

• Act as trusted advisor to CIO/CTO on cloud, data and AI transformation strategy.
• Define enterprise architecture blueprints aligned with TOGAF and regulatory guidelines.
• Lead Architecture Review Boards and ensure governance compliance.
• Provide technology roadmaps aligned to multi-year transformation programs.
• Lead end-to-end delivery of cloud modernization, migration and re-architecture.
• Drive adoption of GenAI solutions including Agentic AI workflows and RAG-based architectures.

Skills

Executive advisory

Architecture governance

Cloud architecture

GenAI deployment

Distributed systems

Zero Trust security

Education

AWS Certified Solutions Architect (Professional)

Tools

AWS

Bedrock

Lambda

TOGAF

RAG

AgentCore

CI/CD

IaC

Job description

HCLTech in Ireland seeks an AI Solution Architect – Cloud, Data, AI/GenAI & Enterprise Transformation to act as a strategic technology leader guiding enterprise-scale cloud and GenAI transformations across BFSI clients, bridging CxO advisory with hands-on engineering.

You will design multi-region, secure, scalable cloud-native architectures, champion Zero Trust, implement MLOps, and lead end-to-end modernization and migration programs, including GenAI production deployment at scale.