AWS Bedrock Developer-Terraform-Python Consultant

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

Required Skills Qualifications

• Core Skills
• 36 years of experience in Python development / Cloud engineering
• Hands-on experience with AWS (mandatory)
• Experience or exposure to AWS Bedrock / Generative AI services
• Programming Frameworks
• Strong proficiency in Python
• Experience with FastAPI / Flask
• REST API development
• Familiarity with AI/ML libraries (optional: LangChain, Transformers)
• Terraform DevOps
• Hands-on experience with Terraform (IaC)
• Experience with: Infrastructure automation
• CI/CD pipelines
• Git version control
• AWS Services
• Core services: Lambda, API Gateway
• S3, DynamoDB/RDS
• IAM, VPC
• Exposure to serverless architecture

Additional Responsibilities

• Experience with LLM frameworks (LangChain, LlamaIndex)
• Knowledge of prompt engineering and RAG (Retrieval-Augmented Generation)
• AWS Certifications (Solutions Architect / AI Specialty)
• Experience with Docker / Kubernetes

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