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.
• A 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.

Pay & Benefit Highlights

• 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.
• Dental: 100% company-paid dental premiums for employees and eligible dependents.
• Vision: 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).