Architect - R01571617

Job requirements

Define and drive the architecture for AI-first products, ensuring scalability from MVP through production environments Design Agentic AI architectures with autonomous and semi-autonomous AI agents, tools, workflows, memory, planning, reasoning, and orchestration Determine optimal use of LLM-based agents, Retrieval-Augmented Generation (RAG), deterministic workflows, APIs/services, and machine learning models for product features Architect and implement distributed systems and microservices using MERN stack, integrating NodeJS, React JS, and NestJS Develop and optimize event-driven architectures leveraging Kafka, Docker, and Kubernetes for orchestration and deployment Establish automated CI/CD pipelines for efficient deployment and continuous integration Ensure high performance, security, and reliability of cloud-native applications on Microsoft Azure, integrating MongoDB as needed Lead code reviews, enforce best practices in coding standards, and mentor engineering teams in advanced JavaScript/Typescript and testing frameworks such as Jest Typescript JavaScript NodeJS Express JS React JS NestJS CSS3 HTML5 MongoDB Kafka Docker Kubernetes Jest Distributed microservices architecture Experience architecting AI-first and Agentic AI solutions Hands-on experience with Microsoft Azure cloud services Knowledge of AI orchestration patterns Expertise in planning and reasoning workflows for AI agents Familiarity with Retrieval-Augmented Generation (RAG) techniques Experience integrating traditional APIs and ML models into microservices Experience with Oracle RDBMS Bachelor's degree in Computer Science, Information Technology, or Software Engineering Microsoft Certified: Azure Solutions Architect Expert Certified Kubernetes Administrator (CKA)