Systems Engineer 4 (AI-focused)

RPMGlobal

Annapolis (MD)

On-site

USD 120,000 - 165,000

Full time

4 days ago
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Job summary

Base-2 Solutions seeks a Systems Engineer 4 to apply SE principles across the full lifecycle, emphasizing AWS, AI/ML systems, security, and data lifecycle management.

The role interfaces with government stakeholders and senior executives, ensuring deliverables meet quality and security standards in a complex environment.

Qualifications

  • Active TS/SCI with Full Scope Polygraph.

Responsibilities

  • Apply systems engineering principles throughout the system life cycle.
  • Interface with Government regarding SE 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 requirements definition, analysis, architecture, implementation, integration, verification, transition, operation, maintenance, and disposal.
  • Support project processes including planning, assessment, control, risk, configuration, information, and measurement.
  • Support enterprise processes including portfolio management, infrastructure, lifecycle model mgmt, HR, and quality management.
  • Support acquisition and supply processes.

Skills

AWS
AI/ML
DevOps/MLOps
Data lifecycle
System security
Communication

Education

High School Diploma/GED with 14 years of experience
Associates Degree with 14 years of experience
Bachelor's Degree with 10 years of experience
Masters' Degree with 8 years of experience
PhD with 8 years of experience

Tools

Amazon SageMaker

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.
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