ECS is seeking an AI Integration Engineer to work in our Arlington, VA office. We are seeking an accomplished AI Requirements Engineer to lead the end-to-end design, development, and operational support of AI-enabled platforms and enterprise applications. The ideal candidate will combine strategic vision, business process analysis, and technical leadership to ensure delivery of secure, scalable, and user-centric solutions. This role requires experience modernizing complex IT systems, collaborating with executive stakeholders, and guiding cross-functional teams through full agile lifecycles—from concept and development through production and ongoing operations and maintenance (O&M). Responsibilities: * Lead the strategic planning, requirements definition, and delivery of AI solutions that align with enterprise objectives. * Define program vision and roadmap, balancing priorities across multiple stakeholders. * Serve as the primary liaison between technical teams, leadership, and customers, translating business needs into actionable requirements and managing expectations. * Elicit, document, and validate functional and technical requirements, including AI model integration, data flows, and security constraints. * Define and maintain a prioritized product backlog, user stories, and acceptance criteria to ensure timely and high-quality feature delivery. * Collaborate with vendors and internal development teams to integrate commercial off-the-shelf (COTS) products, APIs, and automation tools. * Lead cross-functional agile teams through sprint planning, execution, testing, and production deployment. * Oversee the design and enhancement of workflows, UI/UX improvements, data integrations, and back-end processes. * Ensure system quality through user acceptance testing (UAT), performance monitoring, and continuous improvement cycles. * Manage ongoing operations, maintenance, and annual release cycles to ensure high availability, scalability, and compliance with security requirements. * Track and report key performance indicators (KPIs), such as user satisfaction, adoption rates, and system performance, to inform iterative enhancements. * Streamline business processes through automation, analytics, and AI-driven capabilities to improve efficiency and reduce manual overhead. * Develop standard operating procedures (SOPs) for model retraining, rollback, and root-cause analysis. * Document incident response procedures for AI model failures and anomalies. Qualifications * US citizenship with an ability to obtain and maintain DHS Suitability (EOD) * Proven experience in a leadership role, managing technical or strategic teams. * Ten+ years of experience in cybersecurity, specifically in translating high-level strategy into tangible, actionable products. * Strong background in stakeholder engagement and relationship management, with a track record of successfully collaborating with diverse. * Excellent communication skills, both written and verbal, with the ability to convey complex technical information to both technical and non-technical. * Experience with data analysis and performance monitoring to track program effectiveness.
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Number of Employees
11-50 employees