Senior Systems Engineer supporting mission-critical software and AI/ML product development. Collaborating within an Agile team to transition complex systems to operational use.
Responsibilities
Analyze stakeholder intent and user workflows to shape requirements, features, and user stories, serving as a user proxy to ensure system functionality meets operational needs
Act as a knowledgeable user proxy by executing and evaluating prototype capabilities, AI/ML outputs, and user experience implementations to assess operational suitability, usability, and alignment with intended outcomes
Collaborate with product owners, software engineers, data scientists, ML engineers, UX designers, and test teams to support continuous integration, verification, and validation of AI-enabled capabilities
Support UI/UX concept development (e.g., wireframes or mockups) to inform user-centered design and operational workflows
Contribute to automated test strategy, including definition of verification criteria and support to test implementation
Provide informal technical leadership and guidance across multiple Agile software and AI/ML development teams
Maintain requirements transparency and traceability across system, software, and AI/ML components throughout the development lifecycle
Perform end-to-end requirements management, including decomposition, allocation, traceability, verification mapping, and development of compliance artifacts
Develop and maintain system architecture artifacts, interface definitions, and design documentation using digital engineering best practices
Generate and maintain formal program artifacts such as system specifications, interface control documents (ICDs), software description documents (SDDs), V&V documentation, and user-facing technical documentation
Support the Chief Engineer with technical planning, interface coordination, risk tracking, and milestone readiness
Participate in customer engagements, program reviews, government test events, and discrepancy review boards as a systems engineering representative
Requirements
Bachelor’s degree in systems engineering, software engineering, computer science, or a related STEM discipline
Minimum of 5 years of systems engineering experience supporting software-intensive systems across the full development lifecycle
Ability to serve as an operationally informed stand-in for the customer by executing the system, interpreting AI outputs, and assessing fitness-for-purpose against defined operational questions, stakeholder intent, and system performance objectives
Demonstrated experience working hands-on within Agile development teams, including writing and refining epics, features, and user stories; defining acceptance criteria; and participating in sprint planning, reviews, and retrospectives
Strong background in requirements management, including decomposition, allocation, bidirectional traceability, and verification planning
Experience supporting system integration, verification, and validation (IV&V) for software-based systems
Ability to collaborate effectively with software engineers, data scientists, ML engineers, UX designers, and test teams
Experience developing and maintaining technical documentation such as system specifications, interface control documents (ICDs), and software design descriptions
Demonstrated strong communication, interpersonal, and collaboration skills, with experience engaging technical and non-technical stakeholders and working effectively across distributed and virtual Agile teams
Active TS/SCI U.S. Government Security Clearance with current Polygraph
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