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