Job Title: Gen AI Python Architect
Key Skills: Python, Generative AI, LLMs, Agentic AI, Azure OpenAI/AWS Bedrock/Vertex AI, Machine Learning
Experience: 10+ Years
Location: Greater Noida
We at Coforge are seeking a Gen AI Python Architect with the following skill set:
Key Responsibilities
Design, develop, and deploy enterprise-scale Generative AI and AI/ML solutions.
Lead the development of AI systems leveraging Large Language Models (LLMs), Agentic AI frameworks, and cloud-native AI services.
Drive end-to-end ownership of AI/ML solutions from data preparation and model training to deployment and production support.
Build, customize, fine-tune, and optimize Large Language Models using Azure OpenAI, AWS Bedrock, Google Vertex AI, and other GenAI platforms.
Design and implement Retrieval Augmented Generation (RAG) frameworks, vector databases, embeddings, and prompt engineering strategies.
Perform data collection, data mining, preprocessing, and analysis of structured and unstructured datasets.
Develop scalable AI architectures leveraging cloud services, MLOps practices,



and distributed computing frameworks.
Collaborate with business stakeholders, product teams, and engineering teams to translate business problems into AI-powered solutions.
Establish best practices around AI model governance, security, performance optimization, evaluation, and observability.
Mentor development teams on AI/ML technologies, modern Python practices, and Generative AI implementation patterns.
Generative AI & Large Language Models
Hands-on expertise with Large Language Models including GPT-4, GPT-3.5, BERT, LSTM, Transformers, and related architectures.
Experience in prompt engineering, fine-tuning, model evaluation, reasoning methodologies, and Chain of Thought (CoT) implementations.
Robust experience with embeddings, vector databases, semantic search, content generation, and conversational AI systems.
Experience implementing Agentic AI and multi-agent frameworks for complex enterprise us

📌 Gen AI Architect (Karamba)
🏢 Coforge
📍 Karamba