This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experienced Senior AI Integration Engineer to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations.
Requirements
- Implement AI components within existing systems and workflows to support operational use.
- Design and manage interfaces and APIs that connect AI models to enterprise platforms.
- Ensure reliable production performance by monitoring data flows, validating system interactions, and resolving integration issues.
- Collaborate with software, data, and platform engineering teams to maintain stable and efficient AI deployment across the enterprise.
- Prepare, maintain, and execute a System Engineering Plan (SEP) for managing all systems architecture and system engineering related aspects of the program.
- Conduct systems engineering activities required to specify, build, and maintain system engineering designs for the System.
- Design, prepare, and document systems engineering and cybersecurity artifacts for the System.
- Establish and maintain an existing System Requirements management environment and associated system requirements management process for the System.
- Support the Government in recommending and conducting enterprise system architecture activities to fully define and scope the System.
- Define, document, maintain, and promulgate APIs and technical standards for using and interoperating within and outside the System.
- Design, engineer, integrate, and continuously improve the underlying infrastructure of the System.
- Identify, prepare, track, secure, and integrate government, commercial, and open-source tools and services into the System.
- Design, architect, engineer, and continuously improve the user interface (UI) and user experience (UX) components of the Platform.
- Design, build, and maintain services and products to effectively make production-ready AI/ML models accessible for customer use.
- Design, architect, engineer, and continuously improve all aspects of cybersecurity elements of the System.
- Perform site reliability engineering to build and maintain a reliable, scalable, and efficient System.
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
