About the Role
This role focuses on maintaining and optimizing AI-driven tools and systems, offering hands-on technical assistance, diagnosing system errors, and supporting AI model lifecycle management to ensure reliable and efficient operations.
Responsibilities
- Monitor AI system performance and respond to operational alerts
- Diagnose and resolve technical issues affecting AI models and integrations
- Collaborate with engineering teams to deploy and update machine learning models
- Document system configurations and maintain support knowledge bases
- Provide frontline support for AI-related inquiries from internal teams
- Assist in testing and validating model outputs before production release
- Track and report on system downtime or performance degradation
- Troubleshoot data pipeline issues impacting AI functionality
- Escalate complex technical problems to senior engineering staff
- Support incident management processes for AI platform outages
- Maintain up-to-date understanding of AI model behavior and limitations
- Work with data scientists to interpret model performance metrics
- Ensure compliance with data privacy and security standards in AI operations
- Assist in onboarding teams to new AI tools and interfaces
- Gather user feedback to inform AI system improvements
- Participate in root cause analysis for recurring system issues
- Update documentation for AI workflows and support procedures
- Coordinate with IT teams to manage access and permissions
- Monitor system logs for anomalies related to AI processing
- Support training initiatives for non-technical staff using AI tools
- Validate accuracy of AI-generated outputs against expected results
- Respond to urgent support tickets within defined service level agreements
- Assist in maintaining model version control and deployment logs
- Contribute to post-deployment monitoring and stabilization efforts
- Stay current with updates in AI frameworks and support tools
Compensation
Competitive salary based on experience and qualifications
Work Arrangement
Hybrid remote with required office presence in specified regions
Team
Part of the AI Operations team within Technology Services
On-Call Expectations
- This role includes participation in a rotating on-call schedule to support critical AI systems during off-hours
- Team members are expected to respond to high-priority incidents within defined timeframes
- On-call training and support resources are provided
Professional Development
- Opportunities for certification in cloud and AI technologies are supported
- Access to internal training on machine learning operations and system architecture
- Regular knowledge-sharing sessions with data science and engineering teams
Available for qualified candidates
