Caci
SeniorSystemsEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Systems Engineer at Caci. Skills: Systems Engineering, AI/ML Model Specification, Requirements Management, Stakeholder Engagement, Data Pipeline Definition, UI/UX Mockup Development, Test Procedure Development. Elicit and define stakeholder needs through direct user engagement. Translate stakeholder needs into AI model performance requirements and system specifications”
What You'll Achieve.
Impact mission operations directly; Ensure solutions genuinely address operational pain points; Verify AI/ML model performance and system
Industry & Context.
Translate ambiguous user needs into concrete technical specifications; Ensure solutions genuinely address operational pain points
Onsite in Herndon, VA, TS/SCI with Polygraph clearance, Up to 10% travel, Continental US travel
What They're Looking For.
Must Have
Bachelor’s degree in computer science, systems engineering, IT, or related engineering field, At least 8 years of professional experience working in software development or systems engineering, Demonstrated excellent interpersonal skills and engagement with virtual teams, Effective cross-organizational communicator with the ability to work well in a small team and fast paced agile environment, Deep ability to translate mission requirements into AI/ML model performance specifications including detection rates, false alarm thresholds, feature engineering requirements, and operational constraints, Ability to mentor other Engineers, Ability to manage requirements to include requirements traceability, Ability to develop test procedures that verify requirements, Working knowledge of Scrum and Agile Software Development Methodology, Ability to work at an off-site location, TS/SCI U. S. Government Security Clearance with adjudicated Polygraph
Nice to Have
At least 2 years of professional experience as an ELINT analyst, Knowledge of AI/ML concepts, tools, and technology, Experience with UI/UX design, prototyping tools, or user-centered design methodology, Experience with using automated tests for formal requirement verification, Experience with government Site Acceptance process and procedures, Experience in working with software-defined interfaces that use either XML or JSON to both document and implement, Demonstrated business acumen and ability to balance technical requirements with business needs, Familiarity with Cloud Architectures and deployment requirements for US Government, Experience in the operational deployment of multi-product baselines and functionality, Experience with Cameo modeling tools, Experience developing a software architecture using digital tools, Experience with DOORS or DOOR Next Gen, Experience with Gitlab, Current IAT Level II or III certification (i. e. Security+, CISSP, or CASP)
What You'll Do.
Elicit and define stakeholder needs through direct user engagement
Translate stakeholder needs into AI model performance requirements and system specifications
Define data pipelines for AI/ML development and deployment
including multi-network data sourcing
and establishing data governance with stakeholders
Develop UI/UX mockups based on user interactions to facilitate AI-enabled capabilities and operational workflows
Perform end-to-end requirements management including creation
verification tracking
and compliance matrices
Develop and execute test procedures to verify AI/ML model performance and system generate formal test documentation
Support the development
and validation of AI-enabled capabilities by collaborating with cross-functional teams throughout the software development lifecycle
Participate in program milestone events including customer meetings
government testing events
and discrepancy report review boards
How You'll Work.
Team & Collaboration
Work with customer analysts to deeply understand daily workflows, operational challenges, and mission needs; Bridge the gap between the customer's mission domain and our software engineering and AI teams; Collaborate with cross-functional teams throughout the software development lifecycle; Engagement with virtual teams; Ability to work well in a small team
Communication Scope
Effective cross-organizational communicator
Process & Methodology
Requirements management, Requirements traceability, Requirements flow-down, Verification tracking, Compliance matrices
Full Job Description
Job Title: Senior Systems Engineer Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Continental US * * * **_The Opportunity:_** We are seeking a Senior System Engineer. This position is onsite in Herndon, VA. You will work with customer analysts to deeply understand daily workflows, operational challenges, and mission needs. A critical part of your role will be translating ambiguous user needs into concrete technical specifications for AI/ML models. You will bridge the gap between the customer's mission domain and our software engineering and AI teams to ensure solutions genuinely address operational pain points. This position offers the opportunity to impact mission operations directly by serving as the voice of the customer throughout the development lifecycle, with additional opportunities to define data pipelines, create UX mockups, and shape system architecture. **_Responsibilities:_** * Elicit and define stakeholder needs through direct user engagement. * Translate stakeholder needs into AI model performance requirements and system specifications. * Define data pipelines for AI/ML development and deployment, including multi-network data sourcing, feature engineering, secure data transfer, and establishing data governance with stakeholders. * Develop UI/UX mockups based on user interactions to facilitate AI-enabled capabilities and operational workflows. * Perform end-to-end requirements management including creation, decomposition, traceability, flow-down, verification tracking, and compliance matrices. Develop and execute test procedures to verify AI/ML model performance and system requirements; generate formal test documentation. * Support the development, integration, and validation of AI-enabled capabilities by collaborating with cross-functional teams throughout the software development lifecycle. * Participate in progra
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