AWS Architect

Pratiti Technologies Pvt Ltd; Pune District; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Pratiti Technologies Pvt. Ltd is seeking an experienced AWS Solutions Architect to design, implement, and deploy cloud-native AI/ML and Generative AI solutions on AWS. The role requires hands-on expertise with Amazon Bedrock, SageMaker, AWS AI services, and modern cloud architectures.

You will work closely with business stakeholders and engineering teams to build efficient AI applications. The ideal candidate has 8–10+ years of relevant experience, strong cloud security practices, and a proven

Qualifications

• 8-10+ years of experience designing, implementing and deploying cloud-native AI/ML solutions on AWS.
• Bachelor's or Master's degree in Computer Science, IT, AI, or related field.
• Hands-on experience with Amazon Bedrock and Amazon SageMaker.

Responsibilities

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

Skills

AWS Cloud

AI/ML

Generative AI

Programming

Databases

DevOps

Education

Bachelor's/Master's in CS/IT/AI

Tools

Docker

Terraform

GitHub Actions

Jenkins

Job description

Pratiti Technologies Pvt. Ltd. | Full time

AWSSolutions 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 lookingfor an experienced AWS Architect with strong expertise in designing,implementing, & deploying cloud-native AI/ML & Generative AI solutionson AWS. The ideal candidate will have hands‑on experience with AmazonBedrock, Amazon SageMaker, AWS AI services, & modern cloudarchitecture. The role involves working closely with business stakeholders &engineering teams to build efficient AI applications.

KeyResponsibilities

• Design & implement scalable cloud solutionsusing AWS services.
  
• Architect AI & Generative AI applications usingBedrock & foundation models.
  
• Design Retrieval-Augmented Generation (RAG)architectures.
  
• Integrate Large Language Models (LLMs) withenterprise 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 translatebusiness requirements into technical solutions.
  

RequiredSkills

AWS Cloud

• VPC
  
• EC2
  
• Lambda
  
• ECS
  
• EKS
  
• S3
  
• IAM
  
• CloudFormation / CDK
  
• API Gateway
  
• CloudWatch
  
• Step Functions
  
• EventBridge
  
• SNS/SQS
  

AI / MachineLearning

• Amazon Bedrock
  
• Amazon SageMaker
  
• Prompt Engineering
  
• Feature Store
  

GenerativeAI

• 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
  

PreferredQualifications

• AWS Certified Solutions Architect - Professional orAssociate
  
• Experience with Generative AI frameworks such asLangChain, 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
  

DesiredCandidate Profile

The idealcandidate should demonstrate:

• Excellent understanding of AWS Well-ArchitectedFramework
  
• Ability to lead technical discussions & mentordevelopment teams