Systems Engineer 3 (AI-focused)

Base-2 Solutions

$100K — $130K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Active TS/SCI with Full Scope Polygraph.
  • Experience in systems engineering relevant to the role.
  • Proficiency in analyzing requirements and supporting system design.
  • Capability in system development and integration.
  • Ability to effectively engage with Government stakeholders.
  • Experience in cloud and platform engineering, particularly with AWS.
  • Familiarity with AI/ML system design and implementation.

Responsibilities

  • Analyze user requirements and develop system specifications.
  • Lead design and development activities based on system requirements.
  • Guide users in formulating requirements and conduct feasibility studies.
  • Provide technical leadership for integrating requirements and design.
  • Incorporate new systems into ongoing operations effectively.
  • Develop and maintain technical documentation.
  • Interface with the Government on engineering considerations and issues.

Benefits

  • 100% company-paid medical, dental, and vision premiums for employees and dependents.
  • 401(k) plan with immediate vesting and a total of 8% company contribution.
  • Up to 20 days of flexible paid time off (PTO) and 11 paid holidays.
  • Flexible work schedules available based on contract and project needs.
Full Job Description
  • Requisition ID: 2859
  • Standard Title: Systems Engineer
  • Required Security Clearance: Top Secret/SCI with Full Scope Polygraph
  • Location: Annapolis Junction, MD
  • Work Type: On-Site
  • Shift: First
  • Referral Eligibility: Eligible
  • U.S. Citizenship Required? Yes


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 requirements, design, and technology.
  • 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 requirements, support system design, and develop technical documentation.
  • 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
EducationYears of ExperienceHigh School Diploma/GED12Associates Degree12Bachelors' Degree7Masters' Degree5PhD3Required Certifications
  • None specified.
Required Security Clearance
  • Active TS/SCI with Full Scope Polygraph.


Pay & Benefit Highlights
Compensation
  • Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity).
  • Employee referral bonuses up to $10,000 per hired referral.
  • Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent).
Health
  • 100% company-paid medical premiums for employees and eligible dependents.
  • Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans.
  • 100% company-paid dental premiums for employees and eligible dependents.
  • 100% company-paid vision premiums for employees and eligible dependents.
Income Protection
  • 100% company-paid premiums for short-term disability.
  • 100% company-paid premiums for long-term disability.
  • 100% company-paid premiums for accidental death & dismemberment (AD&D).
  • 100% company-paid premiums for life insurance up to $200,000.
Retirement
  • 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total).
  • 401(k) pre-tax and Roth options.
Leave
  • Up to 20 days of flexible paid time off (PTO).
  • 11 paid floating holidays.
Work-Life Balance
  • Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).

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