**Role Overview** We are seeking a highly skilled **Agentic AI Senior Lead / Developer** to design, develop, and deploy advanced AI systems leveraging autonomous agents, LLMs, and cloud-native architectures. The ideal candidate will have strong expertise in **Python** , **AWS** , and **Azure** , and experience building scalable AI-driven solutions using up-to-date AI frameworks and cloud services. This role combines **hands-on development, architecture design, and technical leadership** in delivering intelligent, autonomous, and multi-agent systems for enterprise use cases. **Key Responsibilities** ** Agentic AI & LLM Development** + Design and implement **agent-based AI systems** using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar. + Develop multi-agent orchestration systems with memory, planning, and tool usage capabilities. + Integrate LLMs (OpenAI, Azure OpenAI, Anthropic, open-source models) into enterprise workflows. + Implement RAG (Retrieval-Augmented Generation) pipelines using vector databases. + Build secure, production-grade prompt engineering frameworks. ** Python Development** + Develop scalable backend services using Python (FastAPI, Flask, Django). + Build AI microservices and APIs for enterprise integration. + Implement async processing, workflow automation, and event-driven systems. + Ensure high-quality code with unit tests, CI/CD integration, and best practices. ** Cloud Architecture (AWS & Azure)** + Design and deploy AI solutions on **AWS** :



+ SageMaker + Bedrock + Lambda + ECS/EKS + API Gateway + DynamoDB / RDS + Implement AI workloads on **Azure** : + Azure OpenAI + Azure ML + Azure Functions + Azure Kubernetes Service (AKS) + Cognitive Services + Build secure cloud architectures with IAM, VPC, networking, and encryption best practices. + Implement infrastructure as code (Terraform, CloudFormation, Bicep). ** DevOps & MLOps** + Set up CI/CD pipelines for AI applications. + Manage containerization using Docker & Kubernetes. + Implement model monitoring, logging, and performance optimization. + Ensure governance, compliance, and responsible AI practices. ** Leadership & Strategy** + Lead AI architecture discussions and solution design workshops. + Mentor junior developers and AI engineers. + Define AI adoption strategy and roadmap. + Collaborate with cross-functional teams (Product, Cloud, Security, Data Engineering). **Required Skills & Qualifications** **Technical Skills** + Strong expertise in **Python** (8+ years preferred). + Hands-on experience with **LLMs and agent frameworks** . + Deep understanding of: + Prompt engineering + RAG architecture + Vector databases (Pinecone, FAISS, Weaviate, Azure AI Search) + API integrations + Experience with **AWS and Azure cloud services** . + Strong knowledge of REST APIs, microservices, and event-driven architecture. + Experience with Git, CI/CD, Docker, Kubernetes. **Cloud & AI Expertise** + Experience deploying AI systems in **production environments** . + Familiarity with AI governance, model evaluation, and monitoring. + Experience integrating enterprise data sources (SharePoint, SAP, CRM, etc.).

📌 Software Development Specialist (Chennai)
🏢 NTT America
📍 Chennai