Principal Consultant - Full Stack Technologies

Job Summary :

We are looking for an experienced Principal Consultant - .NET Full Stack & AI to lead the architecture, development and delivery of complex enterprise technology solutions. The ideal candidate will bring deep software engineering expertise, strong .NET full-stack development capabilities, hands-on Azure cloud architecture experience, and practical knowledge of AI-powered application development.

Key Responsibilities : 1. Solution Architecture & Engineering Leadership :

• Own the end-to-end architecture and technical delivery of complex enterprise applications.

• Design scalable, secure and high-performance solutions using modern application architecture principles.

• Lead full-stack application engineering using .NET and modern frontend frameworks.

• Drive microservices, API-first development, distributed systems and reusable architecture patterns.

• Establish engineering standards, coding guidelines, design reviews and quality benchmarks.

2. AI-Driven Application Development :

• Design and develop AI-enabled applications using Azure OpenAI, Azure AI Services and Azure AI Foundry.

• Implement Large Language Model (LLM) integrations, Retrieval-Augmented Generation (RAG) and enterprise AI solutions.

• Design agentic AI systems with appropriate orchestration, tool integration, memory and human-in-the-loop capabilities.

• Leverage GitHub Copilot for code generation, refactoring, testing, modernization and developer productivity.

• Ensure responsible AI implementation, including security, privacy, governance and performance optimization.

3. Azure Cloud & Architecture :

• Architect cloud-native solutions using Azure App Service, Azure Functions, Azure Container Apps, AKS and API Management.

• Implement secure and scalable cloud architectures using Azure SQL, PostgreSQL, Cosmos DB and related data services.

• Design identity, access management, networking, high availability, disaster recovery and fault-tolerant solutions.

• Apply Azure Well-Architected principles to optimize performance, reliability, security and cost.

4. DevOps & Engineering Excellence :

• Design and manage CI/CD pipelines using Azure DevOps and GitHub Actions.

• Implement Infrastructure as Code using Terraform, Bicep or ARM templates.

• Drive DevSecOps, automated testing, observability, monitoring and production readiness.

• Develop reusable engineering accelerators and practices that improve delivery quality and velocity.