Systems Engineer 4 (AI-focused)

Job Description

Position Summary
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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
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* 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
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* 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
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* Experience with Amazon SageMaker.

Required Education and Experience Equivalency
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* 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
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* None specified.

Required Security Clearance
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* Active TS/SCI with Full Scope Polygraph.