Description

You will design, develop, and deploy Generative AI applications using AWS Bedrock and SageMaker to support enterprise initiatives. You will build RAG solutions, AI agents, and intelligent automation capabilities while optimizing model performance and infrastructure scalability.

This role is on-site.

Responsibilities

• Design and deploy Generative AI applications using AWS Bedrock, SageMaker, and cloud-native services.
• Build and optimize RAG architectures, AI agents, and prompt engineering workflows.
• Develop scalable backend services and APIs using Python, integrating AI with enterprise data sources.
• Implement, deploy, and maintain ML models using SageMaker Studio, Pipelines, Feature Store, and Model Registry.
• Configure AWS services (IAM, S3, Lambda, API Gateway, CloudWatch) for secure and reliable operations.

Required Skills

• 10+ years of experience in software engineering, cloud computing, or AI/ML solution development.
• Strong expertise in AWS Bedrock and SageMaker.
• Proficiency in Python for backend service and API development.
• Hands-on experience with RAG architectures, AI Agents, and prompt engineering.
• Deep knowledge of MLOps and machine learning lifecycle management.
• Experience deploying scalable enterprise AI solutions on AWS.
• Familiarity with AWS core services including IAM, S3, Lambda, API Gateway, and CloudWatch.

Preferred Skills

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Engineering, or a related technical field.
• Experience with enterprise data integration and external system connectivity.
• Knowledge of cloud cost optimization and governance best practices.

Key Skills

Education

Any Graduate