Cloud Confidently®
AI Cloud Engineer
Location
United States
Posted
12 days ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
Effectual AI Cloud Engineers are members of the Public Sector Program Management team responsible for ensuring that customer-facing projects are delivered with exceptional customer satisfaction and technical excellence. The AI Cloud Engineer designs, deploys, modernizes, and optimizes AI-enabled cloud environments.
- Deep expertise in AI, cloud architecture, and AI-driven workloads in AWS environments
- Accelerate legacy-to-cloud migrations and advise leadership on AI strategy and vision
- Hands-on engineering capability and architectural oversight
- Assess current-state environments and implement secure, scalable, compliant AI cloud solutions
- Stay current on leading practices to deliver high-quality, well-conceived solutions to customers
A Glimpse into the Daily Routine of an AI Cloud Engineer:
- Architect and refine AI-driven cloud solutions within AWS
- Deploy and optimize workloads through managed AWS AI services and containerized platforms
- Modernize legacy applications and 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
Qualifications
- Bachelor’s degree in related discipline
- AWS Professional Certification(s) and AWS Certified Machine Learning - Specialty
- Minimum of 8 years of experience in specialized AI cloud technologies including 4 years specializing in AWS AI cloud technologies
- 10 years of on-the-job experience in lieu of Bachelor’s Degree
- 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
Nice-to-Have Skills and Experience
- Active Clearance or Public Trust (DOJ Preferred)
- Familiarity with generative AI architectures and large language model deployment
- Experience with container orchestration platforms including Kubernetes and EKS
- Strong background in DevSecOps practices within regulated government programs
- Experience integrating AI into enterprise ERP, data lake, or mission systems
- Knowledge of Zero Trust architectures within cloud environments
- Experience advising executive leadership on AI adoption strategy and digital transformation initiatives
Job Requirements
- Bachelor’s degree in related discipline
- AWS Professional Certification(s) and AWS Certified Machine Learning - Specialty
- Minimum of 8 years of experience in specialized AI cloud technologies including 4 years specializing in AWS AI cloud technologies
- 10 years of on-the-job experience in lieu of Bachelor’s Degree
- 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
- Nice-to-Have Skills and Experience
- Active Clearance or Public Trust (DOJ Preferred)
- Familiarity with generative AI architectures and large language model deployment
- Experience with container orchestration platforms including Kubernetes and EKS
- Strong background in DevSecOps practices within regulated government programs
- Experience integrating AI into enterprise ERP, data lake, or mission systems
- Knowledge of Zero Trust architectures within cloud environments
- Experience advising executive leadership on AI adoption strategy and digital transformation initiatives
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