Elios Talent is seeking an experienced AI Engineer with AWS Kiro expertise to support a large-scale federal cloud modernization and migration program. The role focuses on designing and deploying AI-enabled solutions within secure AWS environments while collaborating with cloud architects and federal stakeholders.
Responsibilities:
- Design and implement AI/ML solutions using AWS Kiro and native AWS AI/ML services
- Develop, test, and deploy scalable AI models within AWS GovCloud environments
- Integrate AI services into cloud-native architectures supporting modernization initiatives
- Support migration of legacy systems into AI-enabled AWS environments
- Collaborate on CI/CD pipelines and infrastructure automation
- Ensure compliance with federal security standards and documentation requirements
- Monitor, optimize, and operationalize AI models in production
Requirements:
- Active Public Trust clearance or higher (Secret preferred)
- U.S. Citizenship required
- 5+ years of experience in AI/ML engineering or cloud-based AI solutions
- Hands-on experience with AWS Kiro
- Strong experience with AWS services such as SageMaker, Lambda, ECS/EKS, S3, IAM
- Experience deploying AI solutions in secure or regulated environments
- Familiarity with federal modernization and cloud migration initiatives
- Experience with infrastructure-as-code (Terraform, CloudFormation, etc.)
- Strong understanding of model lifecycle management and data pipelines
- Experience supporting federal agencies or regulated public sector environments
- AWS GovCloud experience
- Strong Python background and familiarity with TensorFlow, PyTorch, or similar frameworks
- Experience implementing AI governance and security controls