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

- Solid 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

📌 AWS Bedrock Developer-Terraform-Python Consultant (Hyderabad)
🏢 Infosys
📍 Hyderabad