Must have skills : .Net Full Stack Development Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation. Roles & Responsibilities: Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact. Professional & Technical Skills: Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.

Key Responsibilities: Solution Architecture: Design end-to-end, application-heavy enterprise architectures that integrate infrastructure, applications, data and platforms across multi-cloud environments (e.g., AWS, Azure, Google Cloud). Application Development Leadership: Lead the design and implementation of robust, scalable applications with a focus on full-stack development, ensuring alignment with business goals. Integration Strategy: Architect seamless integrations between systems, applications, and third-party services using APIs, microservices, and event-driven architectures. Multi-Cloud Strategy: Develop and implement strategies for deploying and managing applications across multiple cloud platforms, ensuring portability, scalability, and cost optimization. Technology Leadership: Provide technical guidance on .NET, and Python-based backend systems, and modern front-end frameworks like React or Angular. AI Adoption: Incorporate GenAI/Agentic AI capabilities into enterprise applications, leveraging frameworks and tools to enhance productivity & functionality (e.g., predictive analytics, automation). Infrastructure Design: Collaborate with infrastructure teams to design cloud-native solutions, including containerization (Docker, Kubernetes), CI/CD pipelines, and IaC (Terraform, Bicep). Performance & Security: Ensure solutions are optimized for performance, scalability, and security, adhering to industry standards and best practices. Stakeholder Collaboration: Work closely with product managers, developers, DevOps, and business stakeholders to translate requirements into technical solutions.

Must have skills : .Net Full Stack Development Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation. Roles & Responsibilities: Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact. Professional & Technical Skills: Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.

Key Responsibilities: Solution Architecture: Design end-to-end, application-heavy enterprise architectures that integrate infrastructure, applications, data and platforms across multi-cloud environments (e.g., AWS, Azure, Google Cloud). Application Development Leadership: Lead the design and implementation of robust, scalable applications with a focus on full-stack development, ensuring alignment with business goals. Integration Strategy: Architect seamless integrations between systems, applications, and third-party services using APIs, microservices, and event-driven architectures. Multi-Cloud Strategy: Develop and implement strategies for deploying and managing applications across multiple cloud platforms, ensuring portability, scalability, and cost optimization. Technology Leadership: Provide technical guidance on .NET, and Python-based backend systems, and modern front-end frameworks like React or Angular. AI Adoption: Incorporate GenAI/Agentic AI capabilities into enterprise applications, leveraging frameworks and tools to enhance productivity & functionality (e.g., predictive analytics, automation). Infrastructure Design: Collaborate with infrastructure teams to design cloud-native solutions, including containerization (Docker, Kubernetes), CI/CD pipelines, and IaC (Terraform, Bicep). Performance & Security: Ensure solutions are optimized for performance, scalability, and security, adhering to industry standards and best practices. Stakeholder Collaboration: Work closely with product managers, developers, DevOps, and business stakeholders to translate requirements into technical solutions.