This is a remote position.
AI Operations Analyst
Reporting to Manager Production Support & Service Reliability monitors AI-driven workflows in production reviews output-quality incidents supports fallback and human-review decisions and partners on trust-sensitive escalations. This role helps ensure AI-enabled workflows remain reliable supportable and safe in live finance-oriented environments.
Key Responsibilities
AI Workflow Monitoring
Monitor AI-driven workflows in production for abnormal behavior trust issues degraded outputs and recurring exception patterns.
Review signals related to output quality fallback use low-confidence patterns and workflow anomalies.
Escalate issues that could affect live user trust business quality or finance-sensitive outcomes.
Incident Investigation
Support investigation of output-quality incidents orchestration failures prompt or workflow regressions and tool-call problems in production.
Help distinguish true software defects from model behavior issues data-quality problems or process misunderstandings.
Partner closely with Engineering QA and business stakeholders on judgment-heavy incidents.
Operational Controls
Support human-review patterns fallback routes and safe-operating responses for AI-enabled features.
Help define and apply production review practices for higher-risk workflows.
Document evidence and issue patterns in ways that support repeatability and better release decisions.
Continuous Improvement
Identify recurring AI operations issues and recommend improvements to supportability monitoring and quality feedback loops.
Feed production learnings back into QA Product and Engineering.
Help improve operational trust in AI-enabled solutions over time.
Requirements
Required Qualifications
4 years of experience in production support AI operations business process operations analytics QA or a similar role.
Strong analytical skills and comfort evaluating nuanced workflow or output issues.
Ability to work across engineering and business teams in ambiguous situations.
Experience with AI-enabled workflows operational analytics business process validation or support for workflow-heavy systems.
Strong written communication and documentation discipline.
Bachelors degree preferred.
Key Traits for Success
Thoughtful precise and calm under pressure.
Strong at spotting subtle trust or quality issues others may miss.
Comfortable balancing evidence judgment and business impact.
Focused on safe operations and clear escalation.
Benefits
Base salary plus performance-based bonus.
Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate including but not limited to skill set years and depth of experience education certifications cost of labor and internal equity.
Required Skills:
25 years of experience in Production Support Data Analysis QA or IT Operations Strong analytical skills with experience in data validation and troubleshooting Proficiency in SQL for querying and analyzing data Familiarity with cloud environments (AWS and/or Azure) Experience working with or supporting data pipelines and ETL/ELT processes Experience with monitoring tools or dashboards Strong problem-solving skills and attention to detail
This is a remote position. AI Operations Analyst Reporting to Manager Production Support & Service Reliability monitors AI-driven workflows in production reviews output-quality incidents supports fallback and human-review decisions and partners on trust-sensitive escalations. This role helps e...
This is a remote position.
AI Operations Analyst
Reporting to Manager Production Support & Service Reliability monitors AI-driven workflows in production reviews output-quality incidents supports fallback and human-review decisions and partners on trust-sensitive escalations. This role helps ensure AI-enabled workflows remain reliable supportable and safe in live finance-oriented environments.
Key Responsibilities
AI Workflow Monitoring
Monitor AI-driven workflows in production for abnormal behavior trust issues degraded outputs and recurring exception patterns.
Review signals related to output quality fallback use low-confidence patterns and workflow anomalies.
Escalate issues that could affect live user trust business quality or finance-sensitive outcomes.
Incident Investigation
Support investigation of output-quality incidents orchestration failures prompt or workflow regressions and tool-call problems in production.
Help distinguish true software defects from model behavior issues data-quality problems or process misunderstandings.
Partner closely with Engineering QA and business stakeholders on judgment-heavy incidents.
Operational Controls
Support human-review patterns fallback routes and safe-operating responses for AI-enabled features.
Help define and apply production review practices for higher-risk workflows.
Document evidence and issue patterns in ways that support repeatability and better release decisions.
Continuous Improvement
Identify recurring AI operations issues and recommend improvements to supportability monitoring and quality feedback loops.
Feed production learnings back into QA Product and Engineering.
Help improve operational trust in AI-enabled solutions over time.
Requirements
Required Qualifications
4 years of experience in production support AI operations business process operations analytics QA or a similar role.
Strong analytical skills and comfort evaluating nuanced workflow or output issues.
Ability to work across engineering and business teams in ambiguous situations.
Experience with AI-enabled workflows operational analytics business process validation or support for workflow-heavy systems.
Strong written communication and documentation discipline.
Bachelors degree preferred.
Key Traits for Success
Thoughtful precise and calm under pressure.
Strong at spotting subtle trust or quality issues others may miss.
Comfortable balancing evidence judgment and business impact.
Focused on safe operations and clear escalation.
Benefits
Base salary plus performance-based bonus.
Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate including but not limited to skill set years and depth of experience education certifications cost of labor and internal equity.
Required Skills:
25 years of experience in Production Support Data Analysis QA or IT Operations Strong analytical skills with experience in data validation and troubleshooting Proficiency in SQL for querying and analyzing data Familiarity with cloud environments (AWS and/or Azure) Experience working with or supporting data pipelines and ETL/ELT processes Experience with monitoring tools or dashboards Strong problem-solving skills and attention to detail