Role OverviewApply senior systems engineering expertise across the full system life cycle, ensuring 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.
What You Will Do
Apply systems engineering principles throughout the system life cycle phases, interface with the Government, communicate with program personnel and senior executives, and maintain responsibility for technical integrity, quality, and completeness of work performed and deliverables.
Why It Might Be a Fit
The ideal candidate will have experience in systems engineering, cloud architecture, AI/ML system design and implementation, and data engineering. They will also have excellent communication and collaboration skills with varied stakeholder groups.
Requirements
- 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
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