Drive innovation and efficiency by designing, developing, and deploying enterprise-grade solutions leveraging Generative and Agentic AI frameworks. This role focuses on building AI-powered solutions that transform business processes and deliver tangible value.

We are seeking a seasoned Full Stack Enterprise Architect with a strong background in multi-cloud enterprise solutions. The ideal candidate will possess deep expertise in application development, infrastructure, and integration, with hands-on experience in .NET Core, MVC Framework, and Python. Familiarity with modern front-end technologies like React or Angular, coupled with a solid understanding of AI integration, is essential for architecting scalable, secure, and innovative solutions across multiple cloud platforms.

Lead the design and implementation of robust, scalable applications with a focus on full-stack development, ensuring alignment with business goals. Architect seamless integrations between systems, applications, and third-party services using APIs, microservices, and event-driven architectures.

Develop and implement strategies for deploying and managing applications across multiple cloud platforms, ensuring portability, scalability, and cost optimization. Provide technical guidance on .NET and Python-based backend systems, and modern front-end frameworks. Incorporate GenAI/Agentic AI capabilities into enterprise applications to enhance productivity and functionality.

A minimum of 12 years of experience in enterprise architecture is required, including at least 3-5 years in a full-stack architect role. Proven success in designing and deploying solutions within multi-cloud environments (AWS, Azure, Google Cloud) is crucial.

Expertise in .NET Core, ASP.Net, and Python for backend development is essential. Exposure to front-end technologies such as React or Angular is beneficial. A strong understanding of AI concepts and their application in enterprise systems, along with mastery of integration patterns and microservices architecture, is expected.

Familiarity with big data technologies, containerization (Docker, Kubernetes), CI/CD pipelines, and infrastructure as code (IaC) tools is a plus. Knowledge of enterprise security practices and DevOps principles is also valued. Excellent problem-solving, analytical, communication, and leadership skills are required to guide cross-functional teams and translate complex technical concepts into business-friendly language.