AWS AI Cloud Engineer - Public Sector

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

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• 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

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• 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.