AWS Gen AI Engineer
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Job Description
AWS Gen AI Engineer developing product solutions in healthcare using AWS technologies and Python. Collaborating with teams to innovate in addressing significant healthcare challenges.
Responsibilities:
- Architect and maintain AWS demo environments using services such as EC2, ECS/Fargate, Lambda, S3, RDS, DynamoDB, IAM, KMS, API Gateway, CloudWatch, and AWS Glue.
- Develop Python-based solutions leveraging libraries like NumPy, 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, SageMaker) 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 AppConfig.
- Ensure environmental health through automated monitoring, alerting, and load testing (CloudWatch, 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.
Requirements:
- 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, SageMaker, Lambda)
- Familiarity with CI/CD pipelines, containerization (Docker), and orchestration (ECS/Fargate)
- AWS Certification (Solutions Architect, DevOps Engineer, or equivalent) preferred
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Benefits:
- Remote Opportunity
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