GenAI Cloud Solutions Engineer

The AWS Engineer is responsible for end-to-end deployment, configuration, and reliability of AWS-based product demo environments, integrating Gen AI pipelines and engineering practices. The role demands deep cloud infrastructure skills (ECS, Lambda, RDS, S3), automation (Terraform). This role is strictly involved in the development of the product and does not involve access to Protected Health Information (PHI) & Personally Identifiable Information (PII) or any secured / confidential client data. The work is limited to application development and does not include handling or processing of sensitive health information.

What are the primary goals aligned to the role?

• Architect, provision, and maintain AWS demo environments leveraging services such as EC2, ECS / Fargate, Lambda, S3, RDS, DynamoDB, IAM, KMS, API Gateway, CloudWatch, and AWS Glue.
• Build and maintain Terraform modules to automate environment provisioning, resets, and decommissioning.
• Integrate AWS GenAI solutions (Bedrock, SageMaker) for scenario automation, and real-time demo enrichment.
• Collaborate with Demo COE and Product SMEs to evaluate scenarios and implement custom flows.
• Implement RBAC, feature flag toggling, and configuration management via AWS Systems Manager and AppConfig.

Ensure environmental health with automated monitoring, alerting, and load testing (CloudWatch)

What are the top five skills / competencies required to be successful in the role?

AWS, DevOps, GenAI, Dot Net / Java / Python, CI / CD pipelines.

What is the preferred background of the candidate, and why?

Should be hands-on into Dot net or Java or Python along with at least 1 year experience into GenAI, any LLM models.