Agentic AI Architect

Agentic AI Architect | AWS Bedrock OR GCP | Python | GenAI

Experience: 9-15 Years
Location: Hybrid (India)

We are looking for an experienced Agentic AI Architect with strong expertise in AWS Bedrock, Python, Generative AI, LLMs, RAG, and Multi-Agent Architectures.

Key Skills:

• AWS Bedrock & Foundation Models
• GCP
• Python
• Generative AI / Agentic AI
• LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel
• RAG (Retrieval-Augmented Generation)
• Vector Databases (OpenSearch, Pinecone, ChromaDB, FAISS, Weaviate)
• FastAPI / Flask / Django
• AWS Services: Lambda, API Gateway, Step Functions, S3, DynamoDB, ECS/EKS
• Microservices, REST APIs, CI/CD, DevOps
• Cloud-Native Architecture & Enterprise AI Solutions

Responsibilities:

• Design and build autonomous AI agents and multi-agent systems.
• Develop enterprise GenAI applications using AWS Bedrock.
• Implement RAG pipelines, prompt engineering, and LLM orchestration.
• Integrate AI solutions with enterprise applications, APIs, and databases.
• Architect scalable, secure, and production-ready AI platforms.

Preferred: AWS Certifications, MLOps/LLMOps, Hugging Face, PyTorch, TensorFlow, Azure OpenAI, Copilot Studio, Vertex AI.

Ideal Candidate: 9+ years of software engineering experience with hands-on expertise in AWS, Python, Agentic AI, and enterprise-scale GenAI implementations.