AWS Architect

Pratiti Technologies; Maharashtra; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Pratiti Technologies in India seeks an experienced AWS Solutions Architect - AI to design, implement, and deploy cloud-native AI/ML solutions on AWS. The candidate will focus on Bedrock, SageMaker, and AWS AI services to deliver scalable, secure architectures aligned with business goals.

You will work with cross-functional teams to build RAG pipelines, integrate LLMs, and deploy containerized microservices.

Qualifications

• Bachelor's or Master's degree in CS/IT/AI or related field.
• 8–10+ years of experience in AWS cloud architecture and AI/ML.
• Hands-on with Bedrock, SageMaker, and AWS AI services.
• Strong knowledge of secure cloud design and DevOps practices.
• Experience designing RAG architectures and LLM integration.
• Proficiency in Python/SQL; Java or Node.js preferred.
• Experience with API design, microservices, and containerization.

Responsibilities

• Design & implement scalable cloud solutions using AWS services.
• Architect AI & Generative AI applications using Bedrock & foundation models.
• Build, train, deploy & monitor ML models using SageMaker.
• Design Retrieval-Augmented Generation (RAG) architectures.
• Integrate Large Language Models (LLMs) with enterprise applications.
• Develop AI-powered copilots, document intelligence & management solutions.
• Design secure APIs using API Gateway, Lambda, ECS/EKS & containerized microservices.
• Implement vector databases such as OpenSearch, Pinecone.
• Optimize AI workloads for performance, scalability & cost.
• Implement security best practices, IAM policies, encryption & governance.
• Work with cross-functional teams to translate business requirements into technical solutions.

Skills

AWS Cloud

Generative AI

Programming

Databases

DevOps

Education

Bachelors or Masters in CS/IT/AI

Tools

Terraform

Docker

GitHub Actions

Jenkins

CloudFormation / CDK

Job description

AWS Solutions Architect - AI (Bedrock & SageMaker)

Experience: 8-10+ Years

Education: Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.

Job Summary

We are looking for an experienced AWS Architect with strong expertise in designing, implementing, & deploying cloud-native AI/ML & Generative AI solutions on AWS. The ideal candidate will have hands-on experience with Amazon Bedrock, Amazon SageMaker, AWS AI services, & modern cloud architecture. The role involves working closely with business stakeholders & engineering teams to build efficient AI applications.

Key Responsibilities

• Design & implement scalable cloud solutions using AWS services.
• Architect AI & Generative AI applications using Bedrock & foundation models.
• Build, train, deploy, & monitor machine learning models using SageMaker.
• Design Retrieval-Augmented Generation (RAG) architectures.
• Integrate Large Language Models (LLMs) with enterprise applications.
• Develop AI-powered copilots, document intelligence, & management solutions.
• Design secure APIs using API Gateway, Lambda, ECS/EKS, & containerized microservices.
• Implement vector databases such as OpenSearch, Pinecone.
• Optimize AI workloads for performance, scalability, & cost.
• Implement security best practices, IAM policies, encryption, & governance.
• Work with cross-functional teams to translate business requirements into technical solutions.

Required Skills

AWS Cloud

• VPC
• EC2
• Lambda
• ECS
• EKS
• S3
• IAM
• CloudFormation / CDK
• API Gateway
• CloudWatch
• Step Functions
• EventBridge
• SNS/SQS
• Amazon Bedrock
• Amazon SageMaker
• Prompt Engineering
• Feature Store

Generative AI

• Retrieval-Augmented Generation (RAG)
• Embeddings
• Vector Databases
• Prompt Engineering
• Agentic AI
• AI Guardrails

Programming

• Python
• SQL
• Java or Node.js (preferred)

Databases

• DynamoDB
• Aurora
• OpenSearch
• Redis

DevOps

• Docker
• Terraform
• GitHub Actions
• Jenkins

Preferred Qualifications

• AWS Certified Solutions Architect - Professional or Associate
• Experience with Generative AI frameworks such as LangChain, LlamaIndex, or Semantic Kernel
• Experience integrating OpenAI, Anthropic Claude, Meta Llama, or Amazon Nova models through Amazon Bedrock
• Knowledge of MLOps best practices
• Experience building enterprise AI solutions

Desired Candidate Profile

The ideal candidate should demonstrate:

• Excellent understanding of AWS Well-Architected Framework
• Ability to lead technical discussions & mentor development teams