Systems Engineer 6 (AI-focused)

RPMGlobal; Annapolis (MD); On-site; USD 120,000 - 180,000; Full time

Job summary

Base-2 Solutions is seeking a Systems Engineer 6 in the United States (Annapolis, MD) to apply senior systems engineering across the full lifecycle, ensuring technical integrity and quality of work. The role emphasizes AWS, AI/ML systems, security, and data lifecycle management within AI-focused cloud/platform engineering efforts.

The position requires active TS/SCI with Full Scope Polygraph and extensive experience in cloud architecture, AI/ML system design, DevOps/MLOps, and secure classified

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.

Responsibilities

• Apply systems engineering across the full system life cycle (concept to retirement).
• Interface with Government on technical considerations and issues.
• Communicate with program personnel, government overseers, and senior executives.
• Maintain technical integrity and quality of deliverables for ISO/IEC 15288 process areas.
• Support requirements definition, architecture, verification, transition, and operation.
• Support project planning, risk management, configuration, and measurement processes.
• Assist enterprise process areas including lifecycle model and information management.
• Support acquisition and supply within agreements.

Skills

TS/SCI clearance

Systems engineering

Cloud architecture

AWS

AI/ML systems

AI lifecycle understanding

ML pipeline & MLOps

Security & networking

Data lifecycle management

Communication with government

SageMaker (preferred)

Education

High School Diploma/GED with 24 years of experience

Associates Degree with 24 years of experience

Bachelor’s Degree with 20 years of experience

Masters’ Degree with 18 years of experience

PhD with 18 years of experience

Tools

Amazon SageMaker

Job description

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.

RequiredCertifications

• None specified.

Required Security Clearance

• Active TS/SCI with Full Scope Polygraph.