Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks. This role focuses on driving innovation, efficiency, and business transformation through AI-powered technology talent.

We are looking for a seasoned Full Stack Enterprise Architect with deep expertise in designing and implementing application-heavy, multi-cloud enterprise solutions. The ideal candidate will possess a strong background in applications, infrastructure, and integration, with hands-on experience in .NET Core, MVC Framework, and Python. Exposure to modern front-end technologies like React or Angular is also valuable. A solid understanding of AI and its integration into enterprise systems is essential for this position.

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.

Design end-to-end, application-heavy enterprise architectures across multi-cloud environments (AWS, Azure, Google Cloud), integrating infrastructure, applications, and data. Lead the design and implementation of robust, scalable applications with a focus on full-stack development. Architect seamless integrations between systems and services using APIs and microservices.

Develop and implement strategies for multi-cloud deployment and management. Provide technical guidance on .NET, Python, and modern front-end frameworks. Incorporate GenAI/Agentic AI capabilities into applications. Collaborate on cloud-native infrastructure design and ensure solutions are optimized for performance, scalability, and security. Stay updated on emerging technologies, including AI advancements and full-stack development practices.

Minimum 2 years of experience required for Custom Software Engineer role.

For the Enterprise Architect position, a minimum of 12 to 20+ years of experience is required in enterprise architecture, with at least 3 to 5 years in a full-stack architect role. Proven track record designing and deploying solutions in multi-cloud environments is essential.

Key technical skills include: .NET Full Stack Development, Generative AI, Agentic AI, prompt engineering, AI evaluation frameworks, .NET Core, ASP.NET, Python, React, Angular, integration patterns (REST, GraphQL, Kafka), microservices architecture, containerization (Docker, Kubernetes), CI/CD, and Infrastructure as Code (Terraform, Bicep).

Qualifications include a Bachelor's or Master's degree in computer science, Engineering, or a related field. Excellent problem-solving, analytical, communication, and leadership abilities are crucial. A proactive, innovative mindset focused on delivering scalable solutions is highly valued.