AWS AI Architect (Amazon Bedrock & Generative AI)

Actively Reviewing

Zorba AI

Hyderabad Full-Time 4–8 yrs exp Posted 4 hours ago · Apply by Sep 14, 2026

Job Description

Role: AWS AI Architect

Experience: 12+ Years

Location: PAN India

Employment Type: Contract / Full-Time

Job Summary

We are seeking an experienced AWS AI Architect with 12+ years of IT experience and strong expertise in Generative AI, Amazon Bedrock, Retrieval-Augmented Generation (RAG), LLM architecture, and AWS cloud services. The ideal candidate will be responsible for designing scalable, secure, and enterprise-grade AI solutions leveraging Amazon Bedrock and modern GenAI design patterns.

Required Skills

12+ years of overall IT experience with strong cloud architecture expertise.
Hands-on experience with Amazon Bedrock and foundation models.
Strong knowledge of Generative AI concepts, Large Language Models (LLMs), and AI solution architecture.
Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.
Expertise in GenAI design patterns including:

RAG
AI Agents / Agentic AI
Prompt Engineering
Function Calling / Tool Use
Multi-Agent Architectures
Knowledge Grounding

Strong experience in designing and integrating REST APIs, microservices, and AI services.
Hands-on experience with AWS services such as:

Amazon Bedrock
Lambda
API Gateway
S3
IAM
CloudWatch
Step Functions
DynamoDB
OpenSearch
ECS/EKS (preferred)

Experience with vector databases and semantic search.
Knowledge of embedding models, prompt optimization, and AI orchestration frameworks.
Strong understanding of enterprise architecture, security, governance, and scalability.
Experience with CI/CD and Infrastructure as Code (Terraform/CloudFormation) is preferred.

Roles & Responsibilities

Design end-to-end enterprise Generative AI solutions on AWS.
Architect scalable AI platforms using Amazon Bedrock and foundation models.
Design and implement RAG pipelines integrating enterprise knowledge sources.
Define AI solution architecture, API strategy, and system integrations.
Build reusable AI components and reference architectures.
Optimize AI applications for performance, latency, scalability, and cost.
Collaborate with business stakeholders, product teams, and engineering teams to define AI use cases.
Establish AI governance, security, monitoring, and responsible AI practices.
Mentor development teams on GenAI architecture and AWS best practices.

Preferred Skills

Experience with LangChain, LangGraph, or similar orchestration frameworks.
Experience with Amazon Knowledge Bases for Bedrock.
Exposure to vector databases such as Pinecone, OpenSearch Vector Engine, FAISS, or Weaviate.
Knowledge of Python and AI application development.
Experience with enterprise AI adoption and cloud migration strategies.
AWS Solution Architect or AWS AI-related certifications are highly preferred.

Skills: bedrock,aws,genai

Required Skills

Retrieval-Augmented Generation Design patterns Solution architecture REST API Adobe Illustrator Enterprise Architecture Python AWS CI/CD Terraform Monitoring FAISS Weaviate