AI Platform Engineer
Sagecor Solutions (sagecor)
Washington, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Washington, United States of America
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Systems Engineering
Computer Security
Information Systems
Azure
Cloud Platform System
Kubernetes
Infrastructure Automation Frameworks
Information Technology
Machine Learning Operations
Devsecops
Docker
Requirements
- Min 12 years with Bachelors, 10 years with Masters degree in Computer Science, Engineering, Information Systems, or related field., * Experience with Azure AI services, AWS AI/ML services, Kubernetes, Docker, MLOps, DevSecOps, Infrastructure as Code, or platform observability tools.
- Familiarity with secure government cloud environments and cross-domain or restricted operational architectures.
- Understanding of AI governance, responsible AI, model lifecycle support, and platform security considerations.
- Experience supporting DoD, IC, or cyber mission organizations.
- Relevant certifications in cloud, systems engineering, cybersecurity, or platform operations.
Consistent with federal and state law where SageCor conducts business, SageCor Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class.
About the company
Serving Maryland and the Greater Washington D.C. area, SageCor Solutions (SageCor) is a growing company bringing complete engineering services and true full lifecycle System Engineering services to areas requiring (or desiring) nationally-recognized expertise in high performance computing, large data analytics and cutting edge information technologies.