Senior AWS GenAI

Location: Bengaluru

Summary

We are seeking a highly skilled  GenAI Engineer  with strong expertise in  Python development ,  AWS cloud services ,  Infrastructure as Code (Terraform) , and  Generative AI technologies . This role involves designing, deploying, and maintaining AWS-based product demo environments, integrating GenAI pipelines, and implementing automation for reliability and scalability. The position is strictly focused on application development and does not involve handling Protected Health Information (PHI), Personally Identifiable Information (PII), or any confidential client data

What We're Looking For

Key Responsibilities:

Architect and maintain AWS demo environments using services such as EC2, ECS/Fargate, Lambda, S3, RDS, Dynamo

DB, IAM, KMS, API Gateway, Cloud Watch, and AWS Glue.
Develop Python-based solutions leveraging libraries like Num Py, Pandas, Scikit-learn, and others for data processing and automation.
Build and manage Terraform modules for automated provisioning, environment resets, and decommissioning.
Integrate AWS GenAI services (Bedrock, Sage Maker) for real-time demo enrichment and scenario automation.
Collaborate with Demo COE and Product SMEs to design and implement custom demo flows.
Implement RBAC, feature toggles, and configuration management using AWS Systems Manager and App Config.
Ensure environmental health through automated monitoring, alerting, and load testing (Cloud Watch, ALB, X-Ray).
Support automated QA gates, metrics collection, and post-demo knowledge management.
Provide secondary support for data engineering tasks (AWS Glue, Redshift, Athena) for ingestion and transformation.
Contribute to hybrid cloud demos and integrations with Azure as needed.

Your role in our mission

Qualifications:

5+ years of experience in AWS engineering and Python development.
Strong proficiency in Terraform for AWS Infrastructure as Code.
Hands-on experience with GenAI or ML services (Bedrock, Sage Maker, Lambda).
Familiarity with CI/CD pipelines, containerization (Docker), and orchestration (ECS/Fargate).
AWS Certification (Solutions Architect, Dev Ops Engineer, or equivalent) preferred.
Excellent problem-solving skills and ability to work in a fast-paced environment.