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Systems Engineer 3 (AI-focused)

Base-2 Solutions
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Annapolis Junction, MD, USA
Sep 20, 2026
Position Summary Base-2 Solutions is seeking a Systems Engineer 3 to support AI-focused cloud and platform engineering efforts. This role applies systems engineering expertise to requirements analysis, system design, technical planning, documentation, and integration of new capabilities into ongoing operations, with emphasis on cloud architecture, AI/ML systems, security, and data lifecycle management. Essential Duties and Responsibilities
  • Analyze user
requirements, concept of operations documents, and high-level system architectures to develop system requirements specifications.
  • Analyze system
requirements and lead design and development activities.
  • Guide users in formulating
requirements, advise on alternative approaches, and conduct feasibility studies.
  • Provide technical leadership for the integration of
    • Incorporate new plans, designs, and systems into ongoing operations.
    • Develop technical documentation.
    • Develop system architecture and system design documentation.
    • Guide system development and implementation planning through assessment or preparation of system engineering management plans and system integration and test plans.
    • Interface with the Government regarding systems engineering technical considerations and associated problems, issues, or conflicts.
    • Maintain responsibility for the technical integrity of work performed and deliverables associated with the systems engineering area of responsibility.
    • Communicate with program personnel, government overseers, and senior executives. 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 analyze
    • Ability to support system development, implementation planning, and systems integration and test planning.
    • Ability to interact with Government stakeholders and communicate with technical and senior leadership audiences.
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 12 years of
experience.
  • Associates Degree with 12 years of
experience.
  • Bachelors' Degree with 7 years of
experience.
  • Masters' Degree with 5 years of
experience.
  • PhD with 3 years of
experience. Required Certifications
  • None specified. Required Security
Clearance
  • Active TS/SCI with Full Scope Polygraph.

Job ID

4162
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