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AI Systems Engineer 4 (AWF - 050)

SageCor Solutions • Annapolis Junction, MD

Not Applicable Posted April 2, 2026 Job link

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Requirements

Active TS/SCI W/ Polygraph Required.
experience.
accredited college or university plus ten (10) years of systems engineering experience.
accredited college or university plus eight (8) years of systems engineering experience.
or university plus eight (8) years of systems engineering experience.
Cloud Architecture/ Cloud Engineer/ Platform Engineering (especially in AWS)
AI/ML system design and implementation
High-level understanding of the AI lifecycle (development, training, inference,
monitoring)
Experience with ML pipeline development, model deployment, and
DevOps/MLOps
requirements and inform system architecture decisions
System security and networking (particularly the implementation of system
security on classified systems)
Data engineering and data lifecycle management

Preferred Skills

Cloud Architecture/ Cloud Engineer/ Platform Engineering (especially in AWS)
AI/ML system design and implementation
High-level understanding of the AI lifecycle (development, training, inference,
monitoring)
Experience with ML pipeline development, model deployment, and
DevOps/MLOps
Experience with Amazon SageMaker is a plus
Excellent communication and collaboration skills with a variety of stakeholder
groups, ability to proactively engage with these groups to understand
requirements and inform system architecture decisions
System security and networking (particularly the implementation of system
security on classified systems)
Data engineering and data lifecycle management
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.

Education

(Not required) – A High School Diploma or GED plus fourteen (14) years of general system engineering
(Not required) – OR
(Not required) – A Bachelor’s degree in a Qualified Engineering Field or a related discipline from an
(Not required) – accredited college or university plus ten (10) years of systems engineering experience.
(Not required) – OR
(Not required) – A Master’s degree in a Qualified Engineering Field or a related discipline from an
(Not required) – accredited college or university plus eight (8) years of systems engineering experience.
(Not required) – OR
(Not required) – A PhD in a Qualified Engineering Field or a related discipline from an accredited college
(Not required) – or university plus eight (8) years of systems engineering experience.

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.
Active TS/SCI W/ Polygraph Required.
Position Qualifications:
A High School Diploma or GED plus fourteen (14) years of general system engineering
experience.
OR
A Bachelor’s degree in a Qualified Engineering Field or a related discipline from an
accredited college or university plus ten (10) years of systems engineering experience.
OR
A Master’s degree in a Qualified Engineering Field or a related discipline from an
accredited college or university plus eight (8) years of systems engineering experience.
OR
A PhD in a Qualified Engineering Field or a related discipline from an accredited college
or university plus eight (8) years of systems engineering experience.
Desired Skills:

Cloud Architecture/ Cloud Engineer/ Platform Engineering (especially in AWS)
AI/ML system design and implementation
High-level understanding of the AI lifecycle (development, training, inference,
monitoring)

Experience with ML pipeline development, model deployment, and
DevOps/MLOps

Experience with Amazon SageMaker is a plus
Excellent communication and collaboration skills with a variety of stakeholder
groups, ability to proactively engage with these groups to understand
requirements and inform system architecture decisions

System security and networking (particularly the implementation of system
security on classified systems)

Data engineering and data lifecycle management
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.