Position Summary Base-2 Solutions is seeking a Systems Engineer 4 to apply systems engineering principles across the full system life cycle, supporting technical integrity, quality, and completeness of work products and deliverables. This role supports AI-focused cloud and platform engineering efforts, with emphasis on AWS, AI/ML systems, security, and data lifecycle management. Essential Duties and

- Apply systems engineering principles throughout the system life cycle phases of concept, development, production, utilization, support, and retirement.
- Interface with the Government regarding systems engineering technical considerations and associated problems, issues, or conflicts.
- Communicate with program personnel, government overseers, and senior executives.
- Maintain responsibility for the technical integrity, quality, and completeness of work performed and deliverables associated with one or more of the 25 ISO/IEC 15288 process areas.
- Support technical process areas including stakeholder

requirements definition,

- Support project process areas including project planning, project assessment and control, decision management, risk management, configuration management, information management, and measurement.
- Support enterprise process areas including project portfolio management, infrastructure management, lifecycle model management, human resource management, and quality management.
- Support agreement process areas including acquisition and supply. Required

Qualifications

Active TS/SCI with Full Scope Polygraph.
Experience in systems engineering sufficient to meet one of the stated

education/ experience pathways. •

- Ability to support technical integrity, quality, and completeness of systems engineering deliverables.
- Ability to communicate effectively with Government stakeholders, program personnel, and senior executives.

Experience with cloud architecture, cloud engineering, or platform engineering, especially in AWS.

Experience with AI/ML system design and implementation.
High-level understanding of the AI lifecycle, including development, training, inference, and monitoring.
Experience with ML pipeline development, model deployment, and DevOps/MLOps.
Experience with system security and networking, particularly implementation of system security on classified systems.
Experience with data engineering and data lifecycle management.
Excellent communication and collaboration

skills with varied stakeholder groups and the ability to proactively engage them to understand requirements and inform system architecture decisions. Preferred Qualifications

Experience with Amazon SageMaker. Required

Education and Experience Equivalency

High School Diploma/GED with 14 years of

experience.

Associates Degree with 14 years of

experience.

Bachelors' Degree with 10 years of

experience.

Masters' Degree with 8 years of

experience.

PhD with 8 years of

experience. Required Certifications

None specified. Required Security

Clearance

Active TS/SCI with Full Scope Polygraph.

Job ID

4210

About Base-2 Solutions

Company Profile