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 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. RequiredCertifications None specified. Required Security Clearance Active TS/SCI with Full Scope Polygraph. #J-18808-Ljbffr RPMGlobal