AI Requirements Engineer

ECS Tech IncVA
78d

About The Position

ECS is 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).

Requirements

  • 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 teams.
  • Excellent communication skills, both written and verbal, with the ability to convey complex technical information to both technical and non-technical audiences.
  • Experience with data analysis and performance monitoring to track program effectiveness.

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.
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