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.

- Troubleshoot complex application, performance, reliability and security issues.

5. Client Engagement & Consulting :

- Engage with clients and stakeholders to understand business requirements and translate them into technical solutions.

- Lead technical solutioning, effort estimation, proof-of-concepts and pre-sales proposals.

- Provide technical guidance throughout the project lifecycle, from solution design to production deployment.

- Manage technical risks, resolve delivery challenges and support recovery of at-risk projects.

- Mentor engineers and collaborate with cross-functional teams to ensure successful delivery.

Required Skills & Qualifications :

- 18+ years of experience in software engineering, solution engineering or enterprise application development.

- Strong hands-on experience with .NET, C#, ASP.NET Core or equivalent backend technologies.

- Expertise in full-stack application development using React, Angular, Next.js, Blazor or similar frameworks.

- Strong knowledge of microservices, REST APIs, distributed systems, event-driven architecture and design patterns.

- Hands-on experience developing AI-powered applications using Azure OpenAI, Azure AI Services or related technologies.

- Practical understanding of LLM integration, prompt engineering, RAG architectures and agentic AI systems.

- Strong experience with Microsoft Azure cloud architecture and cloud-native application development.

- Experience with GitHub Copilot and AI-assisted software engineering practices.

- Knowledge of Azure DevOps, GitHub Actions, CI/CD, Infrastructure as Code and DevSecOps.

- Experience in technical architecture, solution design, client engagement and complex project delivery.

- Strong communication, stakeholder management, problem-solving and technical leadership skills.

- Bachelor's degree in Computer Science, Engineering or a related discipline, or equivalent experience.

Preferred Qualifications :

- Experience modernizing large enterprise application estates and migrating workloads to Azure.

- Experience building reusable frameworks, accelerators and reference architectures.

- Experience in enterprise consulting, technical pre-sales and customer-facing engineering engagements.

- Relevant Microsoft Azure, AI or software architecture certifications.