AI architect

As a Technical Architect specializing in Generative AI at our Noida location, you will be responsible for leading the design and implementation of AI-driven architectures across complex enterprise systems. Your role will involve leveraging your deep coding expertise in Python, .NET Core, Angular, and Azure to modernize platforms, improve efficiency, and deliver intelligent automation through AI/ML solutions. Your key responsibilities will include designing and developing GenAI models for real-world use cases, building scalable .NET Core Web APIs, Angular/React frontends, and Azure-native applications, as well as developing AI accelerators such as agentic workflows, RAG pipelines, and LLM-integrated solutions. You will also be creating and iterating on proof-of-concepts aligned with business use cases. In terms of architecture and delivery, you will define and evolve the Gen AI roadmap for SDLC integration, architect event-driven, cloud-native systems using Azure tools and messaging services, and implement robust CI/CD, security, and code quality practices. Additionally, you will collaborate with fellow architects to align technical strategy with enterprise goals, partner with business stakeholders to translate workflows into intelligent, automated solutions, and present GenAI solutions and ROI in customer architecture review boards. The technical skill mandates for this role include proficiency in languages and frameworks such as Python, .NET Core, Angular or React, as well as experience with cloud services like Microsoft Azure, Cognitive Services, and AI Foundry. You should also be familiar with LLM techniques, CI/CD & DevOps practices, and architecture patterns like event-driven systems and modular, secure, scalable microservices. To qualify for this position, you should have 13-16 years of total experience in enterprise software, with at least 5 years in AI/ML architecture and cloud-native system design. A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is required, along with preferred certifications such as Azure Solutions Architect Expert or AWS/GCP Cloud Architect. Exposure to domains like insurance, finance, or regulated industries is advantageous. In this role, you will have the opportunity to lead GenAI strategy in a tech-forward enterprise, work in a collaborative, agile environment focused on innovation and delivery, and access career development and learning opportunities in AI and cloud technologies.,