Systems Engineer 6 (AI-focused)

Base-2 Solutions; Maryland; On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Medical premiums paid

Dental premiums paid

Vision premiums paid

401(k) with match

Paid time off

Floating holidays

Life insurance

Short/Long-term disability

Referral bonuses up to $10,000

Job summary

Base-2 Solutions is seeking a Principal Systems Engineer (Systems Engineer 6) in Annapolis Junction, MD, on-site. You will apply senior systems engineering across the full life cycle with emphasis on AWS, AI/ML systems, security, and data lifecycle management.

The role requires active TS/SCI with Full Scope Polygraph, strong communication with government stakeholders, and proficiency in cloud architecture and DevOps practices.

Qualifications

• Active TS/SCI with Full Scope Polygraph.
• Experience across the full system life cycle.
• Experience with cloud architecture, AWS, and AI/ML systems.

Responsibilities

• Apply systems engineering across system life cycle phases: concept to retirement.
• Interface with Government stakeholders on technical considerations.
• Ensure integrity and completeness of deliverables.

Skills

Cloud architecture

AWS

AI/ML system design

Systems engineering lifecycle

Security & networking

DevOps/MLOps

Stakeholder communication

Education

Bachelors' degree or higher

Equivalent experience pathways

Government/security clearance experience

Tools

Amazon SageMaker

Job description

Standard Title: Principal 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 6 to apply senior systems engineering expertise across the full system life cycle, ensuring the 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 full system life cycle.
• Ability to ensure 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 24 years of experience.
• Associates Degree with 24 years of experience.
• Bachelors' Degree with 20 years of experience.
• Masters' Degree with 18 years of experience.
• PhD with 18 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).