Technical Architect

Key Responsibilities

• Architecture & Design
  
  
  
  • Lead end-to-end solution architecture for enterprise applications using .NET technologies.
  
  
  • Design scalable, secure, and high-availability systems, integrating cloud-native services.
  
  
  • Incorporate AI/ML components into applications (e.g., predictive analytics, NLP, intelligent automation).
  
  
  
  


• Technical Leadership
  
  
  
  • Guide development teams on best practices, frameworks, and coding standards.
  
  
  • Review solution designs and code to ensure quality and adherence to architectural principles.
  
  
  • Mentor engineers and contribute to capability-building across .NET and AI technologies.
  
  
  
  


• Stakeholder Management
  
  
  
  • Collaborate with business leaders, product managers, and cross-functional teams to translate business requirements into technical solutions.
  
  
  • Present architectural decisions, trade-offs, and recommendations to senior management.
  
  
  
  


• Innovation & Modernization
  
  
  
  • Stay updated on emerging technologies, especially in AI and cloud-native development.
  
  
  • Drive proof-of-concepts (POCs) for AI-based features such as chatbots, computer vision, or recommendation engines.
  
  
  • Support cloud adoption and modernization of legacy applications
  
  
  
  

Required Skills & Experience

• Technical Expertise
  
  
  
  • 10+ years of professional experience in designing and developing enterprise solutions using .NET / .NET Core, C#, ASP.NET MVC/Web API, Entity Framework.
  
  
  • Strong background in SQL Server and database design.
  
  
  • Hands-on experience with cloud platforms (Azure preferred, AWS/GCP optional).
  
  
  • Exposure to AI/ML concepts and frameworks (Azure AI, TensorFlow, PyTorch, or similar). 
  
  
  • Exposure with Langchain or similar framework
  
  
  • Experience working on LLM based AI solution
  
  
  
  


• Architecture Skills
  
  
  
  • Strong knowledge of microservices, event-driven architecture, API design, and REST/GraphQL.
  
  
  • Familiarity with DevOps practices, CI/CD pipelines, containerization (Docker, Kubernetes).
  
  
  • Understanding of security, compliance, and performance optimization.
  
  
  
  


• Soft Skills
  
  
  
  • Excellent communication and stakeholder management.
  
  
  • Strong problem-solving and decision-making ability.
  
  
  • Experience in leading technical teams and mentoring developers.