Architect and refine AI-driven cloud solutions within AWS
Deploy and optimize workloads through managed AWS AI services and containerized platforms
Modernize legacy applications
Accelerate secure cloud-native migrations
Evaluate existing infrastructure to recommend AI-enabled enhancements aligned with mission objectives
Implement Infrastructure as Code and CI/CD automation
Integrate AI capabilities into enterprise systems and data platforms
Leverage tools such as Kiro (formerly Amazon Q Developer) to enhance development efficiency
Participate in architecture and security reviews
Advise technical leadership on AI strategy, roadmap execution, and cloud optimization initiatives

Bachelor’s degree in related discipline
AWS Professional Certification(s)
AWS Certified Machine Learning
Specialty
8 years of experience in specialized AI cloud technologies
4 years specializing in AWS AI cloud technologies
Must be a US Citizen
Proven experience to architect AI solutions in secure, compliance-driven ecosystems
Deep expertise in AWS AI services including model development, deployment, and integration
Strong experience in cloud-native architecture, automation, and DevSecOps practices
Proven experience modernizing legacy systems and implementing cloud transformation strategies
Experience designing scalable AI pipelines using managed cloud services
Strong understanding of federal security compliance frameworks and cloud governance
Experience performing cloud cost modeling and AI workload financial optimization
Strong problem-solving and troubleshooting skills
Excellent communication and collaboration skills to work with cross-functional teams
Ability to work with multiple clients, in parallel
Ability to work Eastern Standard Time Zone schedule

AI Cloud Engineer

Key skills