Agentic AI Architect

Capgemini; Pune District, Bengaluru, Delhi; Ibrido; INR 400.000 - 700.000; Tempo pieno

Vantaggi offerti da questo lavoro

AWS certifications

Descrizione del lavoro

Capgemini is seeking an experienced Agentic AI Architect in hybrid India (Pune) to lead enterprise GenAI initiatives using AWS Bedrock, Python, and advanced LLM architectures. You will design autonomous AI agents, implement RAG pipelines, and orchestrate multi-agent systems across business applications.

The role demands 9+ years of software development experience, hands-on cloud and AI platform skills, and a track record of delivering production-grade GenAI solutions at scale.

Competenze

• 9+ years of software engineering experience with hands-on AWS, Python and GenAI implementations.
• Experience building enterprise GenAI applications using cloud foundations.
• Experience with autonomous AI agents, LLM orchestration and prompt engineering.

Mansioni

• 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.

Conoscenze

AWS Bedrock

Python

Generative AI

LLMs

RAG

Multi-Agent

LangChain

LangGraph

CrewAI

AutoGen

Semantic Kernel

OpenSearch

Pinecone

ChromaDB

FAISS

Weaviate

FastAPI

Flask

Django

CI/CD

DevOps

Cloud-Native

Formazione

Bachelor’s degree or higher

Strumenti

AWS Lambda

API Gateway

S3

DynamoDB

ECS

EKS

Kubernetes

Jenkins

Monitor/Observability tools

Git

Descrizione del lavoro

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.