Skill: AWS GenAI Architect * Deep expertise in AWS infrastructure and DevOps methodologies (CI/CD). * Strong understanding of application integration technologies and modern AI/GenAI tools. * Proficiency in Python and Git for code management and automation. * Extensive knowledge of RAG, LangChain, Langraph, and Agentic RAG frameworks. * Demonstrated experience in team leadership, architecture creation, and technical mentoring. * Excellent communication skills to engage with customers and stakeholders. Roles & Responsibilities: * Deep expertise in AWS infrastructure and DevOps methodologies (CI/CD). * Lead architectural design and implementation of complex systems and solutions. * Collaborate with customers to gather requirements and translate them into scalable architectures. * Guide and mentor the team in adopting best practices for implementation. * Develop and manage AWS infrastructure, ensuring optimal performance and cost efficiency. * Design and oversee CI/CD pipelines to streamline development and deployment processes. * Integrate and manage application technologies for seamless communication across systems. * Work hands-on with Git for version control and collaborative workflows. * Drive innovation by leveraging Generative AI (GenAI), RAG (Retrieval-Augmented Generation), LangChain, LangGraph, and Agentic RAG principles. * Implement and optimize various types of retrieval mechanisms for efficient data querying. * Utilize Python for scripting and development tasks across projects. * Distributed team leading experience Salary Range - $125,000-$140,000 a year #LI-NR3