AI Architect

Job Description: Key Responsibilities

• Application Modernization & Cloud Transformation Assess and modernize legacy applications using cloud-native architecture patterns.
• Design and implement scalable solutions using Azure PaaS services and Gemini Enterprise for CX Lead migration of on-premises applications and services to Microsoft Azure.
• Transform monolithic applications into microservices and API-driven architectures.
• Develop modernization roadmaps aligned to business goals and customer experience objectives.
• Establish architectural standards, governance, security, and operational best practices.
• Experience with Azure and Google Cloud Platform Cloud Platforms Architect resilient, scalable, and highly available solutions on Azure.
• Design enterprise cloud platforms leveraging Azure App Services, AKS, Azure Functions, API Management, Azure SQL, Cosmos DB, and Integration Services.
• Implement Infrastructure as Code using Terraform and Bicep.
• Drive cloud adoption strategies focused on reliability, security, cost optimization, and performance.
• AI & Generative AI Solutions
• Design and implement AI-enabled business capabilities using Gemini Enterprise for CX, Azure AI Services and Azure OpenAI.
• Develop Generative AI solutions including enterprise copilots, intelligent assistants, document intelligence, and knowledge management systems.
• Leverage Azure AI Search, vector databases, Semantic Kernel, and Retrieval-Augmented Generation (RAG) architectures.
• Establish AI governance, responsible AI frameworks, security controls, and monitoring standards.
• Identify opportunities to improve customer and employee experiences through AI-powered automation and insights.
• Integration & Data Architecture
• Design enterprise integration solutions using Azure API Management, Logic Apps, Service Bus, Event Grid, and Event Hubs.
• Enable hybrid connectivity between on-premises and cloud platforms.
• Architect real-time and batch synchronization solutions across enterprise applications.
• Design modern data architectures leveraging Azure SQL, Cosmos DB, Microsoft Fabric, Azure Synapse, and Azure Data Factory.
• DevSecOps & Platform Engineering
• Establish CI/CD pipelines using Azure DevOps and GitHub Actions.
• Embed security and compliance controls throughout the software development lifecycle.
• Implement monitoring and observability solutions using Azure Monitor, Log Analytics, and Application Insights.
• Promote DevSecOps, SRE, and platform engineering best practices.

Experience

• 10+ years of experience in software engineering, architecture, and enterprise application delivery.
• 5+ years of hands-on Azure/Google cloud architecture experience.
• 3+ years of experience designing and implementing AI/Generative AI solutions.
• Proven success leading large-scale application modernization and cloud transformation initiatives.
• Experience delivering customer-facing digital platforms and enterprise integration solutions.