Systems Engineer 6 (AI-focused)

RPMGlobal; Annapolis (MD); On-site; USD 90,000 - 140,000; Full time

Job summary

Base-2 Solutions seeks a Systems Engineer 6 to apply senior systems engineering expertise across the full system life cycle, ensuring the technical integrity and quality of work products. The role focuses on AI-focused cloud and platform engineering with emphasis on AWS, AI/ML systems, security, and data lifecycle management.

The candidate will interface with Government stakeholders, communicate with program personnel and executives, and support multiple ISO/IEC 15288 process areas to ensure

Qualifications

• Active TS/SCI with Full Scope Polygraph.
• Experience applying systems engineering principles across the full life cycle.
• Experience with cloud architecture and AI/ML systems, especially AWS.
• Ability to communicate effectively with Government stakeholders, program personnel, and senior executives.
• Experience with data lifecycle management.
• Familiarity with system security on classified systems.

Responsibilities

• Apply systems engineering across all life cycle phases (concept to retirement).
• Interface with Government on technical considerations and issues.
• Communicate with program personnel, government overseers, and senior executives.
• Maintain technical integrity, quality, and completeness of deliverables across ISO/IEC 15288 areas.
• Support process areas including requirements, design, verification, transition, and operation.
• Support enterprise processes: portfolio management, infrastructure, lifecycle management, HR, and quality.

Skills

Systems engineering

Cloud architecture (AWS)

AI/ML system design

Government stakeholder communications

DevOps/MLOps

Data lifecycle management

Education

Bachelor's Degree

Master's Degree

PhD

Associates Degree

High School Diploma/GED

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.