Azure Architect

3 days ago

Bengaluru, India LTIMindtree Full time
Job Details:Experience -

12+ yrsMandatory Skills -

Microsoft Azure AI, Azure Open AI, Azure Machine Learning Cognitive Services, Architectural.Location -

Mumbai, Pune, Bangalore, Chennai, Hyderabad and Kolkata location.

We seek an accomplished Azure Architect to design develop and implement AI driven solutions using Microsoft Azure AI and Open AI capabilities This role will guide our AI solution architecture ensure seamless integration with the Azure ecosystem and drive technological innovation for our clients You'll work closely with our engineering product and client teams to deploy high impact AI applications utilizing Microsoft AI technologies for largescale and highly specialized projects

Key Responsibilities1) Architectural LeadershipLead the design architecture and deployment of AI solutions using Microsoft Azure ensuring alignment with business and technical requirementsDevelop scalable secure and optimized architectures for AI applications using Azure AI tools including Open AICreate detailed architecture documentation including data flow diagrams design specifications and integration plans

2) Solution DevelopmentDesign and implement AI models leveraging Azure Machine Learning Cognitive Services and Open AI to build robust and scalable applicationsCollaborate with data scientists ML engineers and software developers to translate complex AI models into production ready solutionsOptimize AI solutions for performance accuracy and cost-effectiveness across varied client environments

3) Integration and DeploymentManage end-to-end deployment of AI solutions on Azure including automation CICD pipelines and ongoing monitoringOversee integration of Azure based AI solutions with existing enterprise architectures ensuring seamless functionality and data integrityWork with Azure DevOps tools to streamline deployments version control and environment managementDeploy Infrastructure as Code IaC on Azure using Azure Resource Manager ARM or Bicep templates to define and manage the required infrastructure for solutions

4) Security and ComplianceEnsure that all Azure based AI architectures comply with industry standards and best practices for security data privacy and regulatory complianceDesign implement and manage security controls for Azure resources including Virtual Networks VNet Private Endpoints Network Security Groups NSG and Identity and Access Management IAM to ensure a robust and secure cloud environment

5) Technical Collaboration and Client InteractionServe as a subject matter expert in Azure AI technologies providing guidance and best practices to internal teams and clientsEngage directly with clients to understand business needs and translate them into technically feasible AI solutions on AzureConduct technical training sessions and knowledge transfer workshops to enhance team and client understanding of Azure AI capabilities

Required QualificationsBachelors or Masters degree in Computer Science Engineering Information Technology or equivalent experienceProven experience as an Azure Architect with a focus on AI solutions strong background in Azure Machine Learning Cognitive Services and Azure Open AI5 years of hands on experience building deploying and managing AI applications on Microsoft AzureStrong knowledge of Azure services including Private Endpoint Network Security Virtual Networks and IAMStrong knowledge of machine learning principles NLP and data science familiarity with large language models is a plusDemonstrated experience with CICD processes containers and Azure DevOpsProficiency in scripting and programming languages such as Python C or JavaStrong understanding of data security privacy and regulatory requirements in AI applications

Preferred SkillsExperience with hybrid and multi cloud environmentsMicrosoft Certified Azure Solutions Architect Expert or Azure AI Engineer certification

Key CompetenciesStrong problem solving skills analytical mindset and attention to detailExcellent communication and interpersonal skills to effectively collaborate with technical and nontechnical stakeholdersAbility to work autonomously manage multiple projects and prioritize effectively

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