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This job is onsite in Annapolis Junction, MD with 1 remote day each week.
We have an immediate need for a Technical AI Requirements Systems Engineer to support and assist with overseeing the planning, design, and implementation of a mission-critical system. Candidates should be passionate about collaboratively solving challenging problems and have a track record of delivering high-quality solutions. Work directly with customers, systems engineers, developers, and AI solution stakeholders to ensure mission-driven software capabilities are accurately defined, built, tested and delivered. Engage tactically with the development team, close collaboration with stakeholders, and active participation in Agile delivery throughout development lifecycle. Perform hands-on technical execution, low-level requirements definition, and functional validation of new features for an enterprise application integrating AI-enabled capabilities.
Required Experience:
- Familiarity with software development using Java or JavaScript frameworks, RESTful microservices, and Cloud-based architecture and deployment (Amazon Web Services)
- Ability to work directly with customers to elicit, analyze, and document detailed functional requirements and convert them into technical specifications
- Ability to translate high-level requirements into actionable Jira user stories and epics for development teams
- Experience conducting functional testing of application features
- Serving as a key technical liaison, collaborating with cross-functional teams, including system engineers, software developers, and domain experts. Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and non-technical stakeholders
- Awareness of modern AI/ML advancements and ability to identify practical opportunities to apply emerging capabilities to enterprise applications
- Experience designing or refining technical artifacts specifically for AI integration
- Ability to evaluate AI architectures, assess model performance, and identify system-level integration tradeoffs
- Coordinating the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture
- Staying current with the latest advancements in AI and machine learning, continuously seeking opportunities to apply new technologies and methodologies to improve existing systems and solve complex problems
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