Key Responsibilities
- Architecture & Design
- Lead end-to-end solution architecture for enterprise applications 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 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# 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.
Key Responsibilities Architecture & Design Lead end-to-end solution architecture for enterprise applications technologies. Design scalable secure and high-availability systems integrating cloud-native services. Incorporate AI/ML components into applications (e.g. predictive analytics NLP intellig...
Key Responsibilities
- Architecture & Design
- Lead end-to-end solution architecture for enterprise applications 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 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# 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.
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