Systems Engineer 4 (AI-focused) with Security Clearance

Base-2 Solutions; Maryland; On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical premiums

Dental premiums

Vision premiums

Disability insurance

Life insurance

401(k) plan

PTO

Floating holidays

Flexible work options

Job summary

Base-2 Solutions seeks a Systems Engineer 4 to apply systems engineering across the full life cycle, focusing on AWS, AI/ML systems, security, and data lifecycle management. The role interfaces with government stakeholders and senior executives to ensure technical integrity and quality of work products.

Responsibilities include architecture, verification, and transition activities, with emphasis on cloud and platform engineering efforts in AI-enabled environments.

Qualifications

• Active TS/SCI with Full Scope Polygraph is required.

Responsibilities

• Apply systems engineering principles across all life cycle phases: concept to retirement.
• Interface with Government regarding technical considerations and issues.
• Communicate with program personnel, government overseers, and senior executives.
• Ensure technical integrity, quality, and completeness of deliverables across ISO/IEC 15288 areas.
• Support process areas: requirements, architecture, verification, transition, operation, disposal.
• Support project & enterprise process areas including planning, risk, configuration, information, and measurement.

Skills

Systems engineering

AWS cloud

AI/ML systems

Security & compliance

Data lifecycle management

Stakeholder communication

Education

High School Diploma / GED – 14 years experience

Associates Degree – 14 years experience

Bachelor's Degree – 10 years experience

Master's Degree – 8 years experience

PhD – 8 years experience

Tools

Amazon SageMaker

Job description

Job Description 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. Required 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).