We are seeking an experienced GenAI Solution Architect with robust expertise in Python, ReactJS, AWS, and Generative AI to design and architect scalable AI-powered enterprise solutions. The ideal candidate will lead the end-to-end architecture of cloud-native applications, integrate Large Language Models (LLMs), and drive the adoption of GenAI technologies across business solutions.
Key Responsibilities
Design and architect scalable applications using Python, ReactJS, and AWS.
Lead the development of Generative AI solutions leveraging LLMs, RAG, AI Agents, and Prompt Engineering.
Define cloud architecture, security, scalability, and performance standards.
Collaborate with business and technical stakeholders to translate requirements into solution designs.
Establish best practices for AI integration, deployment, and governance.
Mentor development teams and provide technical leadership.
Required Skills
Solid experience in Python and modern web architectures.
Hands-on expertise with ReactJS.
Deep knowledge of Generative AI, LLMs, RAG, Vector Databases, and AI Agent frameworks.
Extensive experience with AWS services and cloud-native architectures.
Experience in Microservices, API design, DevOps, and CI/CD.
Excellent stakeholder management and solution design skills.
📌 Architect - Full Stack (Bengaluru)
🏢 Tredence
📍 Bengaluru
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