Description

Job Responsibilities include:

Design, develop, and deploy Generative AI applications using AWS Bedrock, SageMaker, and cloud-native AWS services to support enterprise AI initiatives.

Build and optimize RAG (Retrieval-Augmented Generation) solutions, AI agents, prompt engineering workflows, and intelligent automation capabilities.

Develop scalable backend services and APIs using Python while integrating AI solutions with enterprise data sources, applications, and external systems.

Implement, deploy, monitor, and maintain machine learning models using SageMaker Studio, Pipelines, Feature Store, Model Registry, and MLOps best practices.

Configure and manage AWS services including IAM, S3, Lambda, API Gateway, CloudWatch, and other cloud components to ensure secure and reliable AI operations.

Collaborate with cross-functional teams to deliver AI-driven business solutions while optimizing model performance, infrastructure scalability, governance, and cloud costs.

Required Qualifications:

Bachelor’s degree in computer science, Artificial Intelligence, Data Science, Machine Learning, Engineering, or a related technical field.

10+ years of experience in software engineering, cloud computing, AI/ML, or Generative AI solution development.

Strong expertise in AWS Bedrock, SageMaker, Python, RAG architectures, AI Agents, prompt engineering, and Generative AI application development.

Hands-on experience with AWS cloud services (IAM, S3, Lambda, API Gateway), MLOps, machine learning lifecycle management, and deploying scalable enterprise AI solutions

Key Skills

Education

Any Graduate