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