AWS AI Cloud Engineer

AWS AI Cloud Engineer – Public Sector Location: Fully Remote (U.S.) Engagement: Contract Project: Federal Modernization Initiative Position Summary We are seeking an experienced AWS AI Cloud Engineer to support a high-visibility federal modernization program. This role is part of a Public Sector Program Management team focused on delivering secure, scalable, AI-enabled cloud solutions with technical excellence and mission alignment. This position requires deep expertise in AI-driven workloads within AWS, hands-on engineering capability, and architectural oversight. The ideal candidate has proven experience accelerating legacy-to-cloud migrations, implementing compliant AI cloud environments, and advising leadership on AI strategy and cloud transformation initiatives. This is a fully remote role supporting Eastern Standard Time business hours. Key Responsibilities • Architect and refine AI-driven cloud solutions within AWS • Design, deploy, modernize, and optimize AI-enabled cloud environments • Lead legacy-to-cloud migration initiatives including re-architecture, refactoring, and containerization • Deploy AI solutions using AWS services such as SageMaker, Bedrock, Kiro (formerly Amazon Q Developer), Lambda, ECS, and EKS • Leverage AI-assisted engineering tools to improve development velocity and solution quality • Implement Infrastructure as Code using CloudFormation or Terraform • Engineer CI/CD pipelines for AI model deployment and infrastructure automation • Implement MLOps practices including model versioning, monitoring, retraining workflows, and performance optimization • Conduct cloud cost modeling and performance tuning for AI workloads • Participate in architecture and security reviews • Ensure compliance with federal security frameworks including FedRAMP and NIST • Assess current environments, identify architectural gaps, and implement corrective improvements • Collaborate with cybersecurity, DevSecOps, and program leadership teams • Deliver architecture documentation, technical briefings, and strategic recommendations Required Qualifications • Bachelor’s degree in a related discipline • AWS Professional Certification(s) AND AWS Certified Machine Learning – Specialty • Minimum 8 years of experience in specialized AI cloud technologies • Minimum 4 years specializing in AWS AI cloud technologies • OR • 10 years of relevant experience in lieu of a degree • Must be a U.S. Citizen • Proven experience architecting AI solutions in secure, compliance-driven environments • Deep expertise in AWS AI services including model development, deployment, and integration • Strong experience in cloud-native architecture, automation, and DevSecOps practices • Demonstrated experience modernizing legacy systems and leading cloud transformation initiatives • Experience designing scalable AI pipelines using managed cloud services • Strong understanding of federal security compliance frameworks and governance • Ability to support EST working hours • Ability to support multiple stakeholders in parallel Nice to Have • Active Clearance or Public Trust preferred • Familiarity with generative AI architectures and large language model deployment • Experience with Kubernetes and container orchestration in EKS • Strong DevSecOps background within regulated government programs • Experience integrating AI into ERP, data lake, or mission systems • Knowledge of Zero Trust cloud architectures • Experience advising executive leadership on AI adoption strategy and digital transformation initiatives If you’re an AI-focused AWS engineer who thrives in regulated environments and enjoys building secure, mission-aligned cloud solutions at scale, we’d love to connect.