Gen AI Architect- Python

Job Summary

Gen AI Architect

Key Responsibilities

• Architect and build agentic AI systems using frameworks such as LangGraph, AutoGen, CrewAI, or custom agent orchestration pipelines.
• Design and implement end-to-end Gen AI solutions including document Q&A, summarization, chat interfaces, and autonomous workflows.
• Develop robust and reusable Python modules for LLMs, prompt chaining, embeddings, and vector stores (e.g., FAISS, Weaviate, Pinecone).
• Integrate Gen AI pipelines into fullstack applications with React.js frontends and REST/GraphQL backends.
• Guide the implementation of RAG (Retrieval-Augmented Generation) solutions using chunking, metadata management, and prompt optimization.
• Collaborate with UI/UX and frontend developers to deliver interactive AI tools and dashboards.
• Drive adoption of cloud-native AI services on Azure, AWS, or GCP and containerized deployment using Docker/Kubernetes.
• Evaluate latest LLM advancements (GPT-4, Claude, Mistral, LLaMA, Gemini, etc.) and recommend adoption strategies.

Required Skills & Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, or equivalent.
• 10+ years of overall experience, with 3+ years in Gen AI / LLM-based solutions.
• Strong proficiency in Python and experience with LangChain, Transformers, OpenAI SDK, and other Gen AI libraries.
• Hands-on experience building agentic workflows with autonomous or semi-autonomous agents.
• Working knowledge of React.js, Node.js, RESTful APIs, and fullstack integration best practices.
• Experience with vector databases, prompt engineering, tokenization, and embeddings.
• Familiarity with DevOps, CI/CD for ML pipelines, and scalable deployment patterns.

Preferred Skills

• Experience in enterprise AI applications across domains like BFSI, Healthcare, or Retail.
• Exposure to Power BI, Snowflake, or Microsoft Fabric ecosystems.
• Knowledge of MLOps, logging, observability, and secure API design.
• Open-source contributions or AI research background is a plus.