HCLTech
From HCLTech's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Job Summary
Senior cloud engineers / architects for the first three to four months to support design & deployment decisions for the platform as it goes live across the enterprise.
Lead the architecture, design, and deployment of cloud-native AI Operations platform components across enterprise environments, ensuring scalability, resilience, and security.
Define and implement cloud infrastructure standards, networking, identity management, and governance controls for production-grade AI workloads.
Support platform deployment decisions, including compute, storage, containerization, orchestration, and multi-region high-availability configurations.
Collaborate with AI/ML, DevOps, Security, and Operations teams to establish CI/CD pipelines, Infrastructure-as-Code (IaC), and automated deployment frameworks.
Conduct technical reviews, architecture assessments, and performance optimization activities to ensure operational readiness before enterprise-wide rollout.
Establish observability, monitoring, logging, and incident response mechanisms for proactive management of AI services and supporting cloud infrastructure.
Provide hands-on guidance and technical oversight during go-live phases, troubleshooting complex cloud infrastructure issues and mitigating deployment risks.
Define operational runbooks, architecture blueprints, security guardrails, and knowledge transfer plans to enable a sustainable transition to the AI Operations support team.
Senior cloud engineers / architects for the first three to four months to support design & deployment decisions for the platform as it goes live across the enterprise.
Lead the architecture, design, and deployment of cloud-native AI Operations platform components across enterprise environments, ensuring scalability, resilience, and security.
Define and implement cloud infrastructure standards, networking, identity management, and governance controls for production-grade AI workloads.
Support platform deployment decisions, including compute, storage, containerization, orchestration, and multi-region high-availability configurations.
Collaborate with AI/ML, DevOps, Security, and Operations teams to establish CI/CD pipelines, Infrastructure-as-Code (IaC), and automated deployment frameworks.
Conduct technical reviews, architecture assessments, and performance optimization activities to ensure operational readiness before enterprise-wide rollout.
Establish observability, monitoring, logging, and incident response mechanisms for proactive management of AI services and supporting cloud infrastructure.
Provide hands-on guidance and technical oversight during go-live phases, troubleshooting complex cloud infrastructure issues and mitigating deployment risks.
Define operational runbooks, architecture blueprints, security guardrails, and knowledge transfer plans to enable a sustainable transition to the AI Operations support team.
Skill Requirements
Other Requirements
Apply now
Information at a Glance
At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.
HCLTech is a global technology company, home to more than 230,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion.
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