Systems Engineer 4 (AI-focused)

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 Responsibilities

• 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, requirements analysis, architectural design, implementation, integration, verification, transition, validation, operation, maintenance, and disposal.
• 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.
• Experience applying systems engineering principles across the system life cycle.
• 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

Education	Years of Experience
High School Diploma/GED	14
Associates Degree	14
Bachelors’ Degree	10
Masters’ Degree	8
PhD	8

Required Certifications

• None specified.

Required Security Clearance

• Active TS/SCI with Full Scope Polygraph.