Note: The job is a remote job and is open to candidates in USA. Elios is a cloud-native firm that specializes in AWS modernization for government and mission-driven organizations. They are seeking an AI Cloud Engineer to design, deploy, and modernize AI-enabled AWS environments for public sector customers, focusing on transforming legacy systems into secure, cloud-native architectures.

Responsibilities

• Build and deploy production AI workloads across Bedrock, SageMaker, Lambda, ECS, and EKS, with Kiro or Amazon Q Developer in the mix
• Stand up and manage infrastructure as code using Terraform or CloudFormation
• Create CI/CD pipelines for both infrastructure and model deployment
• Apply MLOps practices end to end: model versioning, monitoring, retraining, and performance tuning
• Migrate legacy systems into cloud-native architectures and document the target state
• Handle cost modeling and workload optimization so AI runs efficiently, not just correctly
• Partner with cybersecurity, DevSecOps, and program teams to keep delivery compliant
• Deliver technical briefings and architecture recommendations to leadership

Skills

• 8+ years in cloud engineering with deep, hands-on AWS AI experience
• Strong track record modernizing legacy systems and leading cloud migrations
• Practical command of MLOps and the full model lifecycle in production
• Comfort with compliance-driven delivery: FedRAMP, NIST, and secure cloud governance
• Infrastructure-as-code fluency (Terraform or CloudFormation) and CI/CD for infra and models
• Bachelor's degree and U.S. citizenship (required for this engagement)
• AWS Professional certification and AWS Certified Machine Learning - Specialty
• Kubernetes depth
• Broader containerization experience
• AI strategy work with enterprise clients

Company Overview