Educational Requirements Bachelor of Engineering,BTech,BCA,BSc,MTech,MSc,MCA

Service Line Data Analytics Unit

Responsibilities

AWS Bedrock Generative AI Development
Design and develop applications using AWS Bedrock (LLMs, Foundation Models)
Integrate models like Anthropic Claude, Amazon Titan, or other Bedrock-supported models
Build prompt engineering strategies and AI workflows
Implement use cases such as chatbots, summarization, recommendations, and NLP pipelines
Python Development
Develop backend services and APIs using Python (FastAPI, Flask)
Implement AI/ML pipelines and integrate model responses into applications
Build reusable libraries for LLM interaction and automation
Infrastructure as Code (Terraform)
Design and implement cloud infrastructure using Terraform
Build reusable modules for deploying AWS resources
Manage Terraform state and automate deployments via CI/CD
Provision services like Bedrock, Lambda, API Gateway, S3, IAM
AWS Cloud Development
Work with key AWS services:Lambda, API Gateway (serverless apps)
S3 (data storage)
DynamoDB / RDS (data persistence)
IAM VPC (security networking)
Build scalable and secure cloud-native applications
DevOps Automation
Implement CI/CD pipelines using GitHub Actions, Jenkins, or AWS CodePipeline
Automate deployments and testing of AI applications
Monitor applications using CloudWatch, X-Ray
Security Governance
Implement secure access to Bedrock models using IAM policies
Ensure compliance, data privacy, and secure prompt handling
Manage API authentication and authorization

Additional Responsibilities:

Technical and Professional Requirements:

Primary skills:AWS Bedrock Developer, Terraform Python

Preferred Skills:

Technology->AI-Data science->PYTHON
Technology->AI-Generative AI->Generative AI - Basic->closed models (aws bedrock)
Technology->Cloud Platform->Terraform

AWS Bedrock Developer-Terraform-Python Consultant

Job Description