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Sr Subject Matter Expert (Support&Ops)

Technology, Data & Digital · Software & Web Development · Software Engineering · Data Science · DevOps

In short

We are looking for a skilled Azure AI Forward Deployment Engineer to design, deploy, and scale AI-powered business solutions on Microsoft Azure. This role requires expertise in Azure AI, Cloud Engineering, DevOps, Platform Engineering, Automation, and Solution Architecture to help customers adopt Generative AI and intelligent automation.

Responsibilities

  • Engage with customers to identify AI, automation, and cloud transformation opportunities.
  • Design and implement AI-powered solutions using Azure AI services and Large Language Models (LLMs).
  • Build enterprise copilots, AI agents, RAG solutions, knowledge assistants, and intelligent automation workflows.
  • Develop scalable AI platforms leveraging Azure OpenAI Service, Azure AI Foundry, Azure AI Search, Azure Machine Learning, Azure AI Services, and Azure AI Agent Frameworks.
  • Design and deploy secure, scalable cloud architectures on Azure.
  • Develop Infrastructure as Code (Terraform/Bicep) and CI/CD pipelines for AI workloads.
  • Integrate AI solutions with enterprise applications, APIs, databases, and cloud platforms.
  • Implement AI governance, security, compliance, monitoring, and responsible AI practices.
  • Lead customer workshops, architecture reviews, PoCs, MVPs, and production deployments.
  • Troubleshoot complex AI and cloud platform challenges and provide engineering guidance.
  • Contribute to reusable accelerators, frameworks, and AI-driven engineering solutions.

Requirements

  • Microsoft Azure (Mandatory)
  • Azure Landing Zones
  • Azure Networking, Security, Storage, Compute
  • Azure Kubernetes Service (AKS)
  • Azure OpenAI Service
  • Azure AI Foundry
  • Azure AI Search (RAG)
  • Prompt Engineering
  • AI Agents & Multi-Agent Architectures
  • LLM Integration and Orchestration
  • Responsible AI & AI Governance
  • Terraform (Mandatory)
  • Azure DevOps / GitHub Actions
  • Docker & Kubernetes
  • GitOps and CI/CD
  • Python (Mandatory)
  • AI Frameworks (LangChain, Semantic Kernel, AutoGen, MCP)
  • Cosmos DB
  • Azure SQL
  • Data Lake
  • Vector Databases
  • Enterprise API Integration

Desired Qualifications

  • Microsoft Certified: Azure AI Engineer Associate
  • Microsoft Certified: Azure Solutions Architect Expert
  • Microsoft Certified: Azure DevOps Engineer Expert
  • HashiCorp Terraform Associate
  • Certified Kubernetes Administrator (CKA)

Benefits

  • Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion.

Skills

AzureAzure OpenAI ServiceAzure AI FoundryAzure AI SearchPrompt EngineeringAI AgentsLLM IntegrationResponsible AIAI GovernanceTerraformAzure DevOpsGitHub ActionsDockerKubernetesGitOpsCI/CDPythonLangChainSemantic KernelAutoGenCosmos DBAzure SQLData LakeVector DatabasesAPI Integration
#AI#Azure#Cloud Engineering#DevOps#Platform Engineering#Automation#Solution Architecture#Generative AI#Intelligent Automation#Enterprise AI#Copilots#AI Agents#RAG Solutions#Knowledge Assistants#LLM#Python#Terraform#Azure OpenAI#Azure AI Foundry#Azure AI Search#Azure ML#Azure AI Services#Azure AI Agent Frameworks#Azure Kubernetes Service#Prompt Engineering#Responsible AI#MLOps
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About HCLTech

Supercharging progress through technology and innovation

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, 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 2022 totaled $12.1 billion. To learn how we can supercharge progress for…

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Company

HCLTech

Job Posted

3 days ago

Employment Type

Full Time

Work mode

On Site

Experience Level

Senior

Locations

Noida, India

Applicants

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