AI Operations Analyst
Shyft6
4d ago
No Phone RequiredOperationsUnited Stateshimalayas
AI-OperationsProduction-SupportQuality-AssuranceIT-Operationsservice-reliabilityMid-level
Job Description
This is a remote position.AI Operations AnalystReporting 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 ResponsibilitiesAI Workflow MonitoringMonitor 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 InvestigationSupport 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 ControlsSupport 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 ImprovementIdentify 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.
RequirementsRequired Qualifications4+ 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.
·Bachelor's degree preferred.Key Traits for SuccessThoughtful, 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.
BenefitsBase 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.
Originally posted on Himalayas
