effectual
AI Cloud Engineer (1099)
At a Glance
- Location
- Remote
- Work Regime
- remote
- Experience
- 8+ years
- Posted
- 2026-03-03T11:06:14-05:00
Key Requirements
Required Skills
Certifications
- AWS Certified
Domain Knowledge
- Automation
- Education
- Finance
- Government
- Regulatory
Requirements
Minimum Education:
Bachelor’s degree in related discipline.
Certifications:
AWS Professional Certification(s) and AWS Certified Machine Learning - Specialty
AND
Minimum Experience:
Responsibilities
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. This role requires deep expertise in AI, cloud architecture, and AI-driven workloads in AWS environments, with demonstrated experience accelerating legacy-to-cloud migrations and advising leadership on AI strategy and vision. The position requires hands-on engineering capability, architectural oversight, and the ability to assess current-state environments and implement secure, scalable, compliant AI cloud solutions. Effectual AI Cloud Engineers are “Brand Ambassadors” and are expected to stay current on leading practices to deliver high-quality, well-conceived solutions to customers.
Provide technical leadership in AI adoption strategy and recommend scalable AI solutions aligned with mission requirements
Design and implement scalable, secure AWS AI cloud architectures and solutions
Lead migration of legacy systems to AWS, including re-architecture, refactoring, containerization, and modernization efforts
Deploy AI solutions using AWS services such as SageMaker, Bedrock, Kiro, Lambda, ECS, EKS, and related services