AI Requirements Engineer
Arlington, VA, United States
USD 101K-189K (estimate) Mid-level Full Time
Tasks
- Coordinate UAT performance monitoring and iterative improvements
- Coordinate sprint planning execution testing and deployment
- Define AI program vision roadmap
- Develop retraining rollback and root cause analysis SOPs
- Document incident response procedures for model failures and anomalies
- Elicit document validate AI functional and technical requirements
- Integrate AI models data flows and security requirements
- Lead AI solution planning requirements and delivery
- Maintain product backlog user stories and acceptance criteria
- Manage AI platform operations maintenance and release cycles
- Oversee workflow and UI UX improvements and data integrations
- Track and report KPIs for adoption system performance and user satisfaction
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Acceptance criteria | Agile | Artificial Intelligence | Cloud Computing | Data integration | Incident Response | Machine Learning | Microsoft Azure | Performance Monitoring | Product backlog | Requirements Management | SDLC | Scrum | Security Compliance | UAT | User stories
Education
Roles
AI | AI Requirements Engineer | Engineer | Requirements Engineer
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