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AWS AI Cloud Engineer
EEOCAWS AI Cloud Engineer responsible for developing and deploying software with a focus on Generative AI. Join Booz Allen to innovate and shape systems for critical missions.
Posted 7/2/2026full-timeSpringfield • Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $86,800 - $198,000 per yearWebsite
Tech Stack
Tools & technologiesAWSCloudDockerDynamoDBKubernetesTypeScript
About the role
Key responsibilities & impact- Resolve a problem with a complete end-to-end GenAI solution in a fast, agile environment
- Develop software and systems from vision to production ready
- Familiarity with cutting-edge GenAI technologies, focusing on enterprise-scale optimizations and modernizations
- Help clients overcome their most difficult challenges using the latest architectural approaches, tools, and technologies
- Ensure solutions consider architecture and operating environment, as well as future functionality and enhancements
- Grow skills at the leading edge of innovation, contributing to shaping systems for the better
Requirements
What you’ll need- 5+ years of experience with software, including cloud first development approach
- 2+ years of experience with Generative AI technologies and LLM deployment
- 2+ years of experience with AWS services and cloud-native architecture patterns, including ECS or EKS, Amazon Bedrock, CloudWatch, RDS, DynamoDB, IAM policies, security groups, and network security
- Experience working with containerization, including Docker, Kubernetes, ECS, or EKS, and container orchestration
- Experience with developing and deploying production geospatial applications from concept to Operations and Maintenance (O&M)
- Active TS/SCI clearance; willingness to take a polygraph exam
- Bachelor's degree
Benefits
Comp & perks- Health insurance
- Life insurance
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care support
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
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Hard Skills & Tools
Software DevelopmentCloud First DevelopmentLLM DeploymentGeospatial Applications DevelopmentProduction Readiness