AI Operations Specialist

Trissential

. Own the operational performance of AI-powered solutions after implementation and hypercare .

Posted 10/2/2026full-timeUnited StatesMid-LevelSenior💰 $90 - $100 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in operational performance management of AI solutions, focusing on quality evaluation, compliance monitoring, and continuous improvement. Proficient in analytics, reporting, and stakeholder communication to drive business outcomes and enhance AI effectiveness.

Highest-signal resume keywords

Operational Performance ManagementAI Quality EvaluationRoot-Cause AnalysisOperational AnalyticsKnowledge Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Performance MetricsTranscript ReviewQuality AssessmentContent-Gap AnalysisKPI ReportingIncident InvestigationGovernance FrameworksCompliance MonitoringContinuous ImprovementPerformance Reporting

Soft Skills

Excellent CommunicationOrganizational SkillsDocumentation Skills

Tools & Technologies

Microsoft Copilot StudioSalesforce AgentforceAI Observability ToolsConversation Analytics PlatformsJira

Industry Keywords

Conversational AIDigital AssistantChatbotCustomer OperationsRegulated EnvironmentsPrivacy ConsiderationsAudit-Sensitive EnvironmentsHealthcareFinancial ServicesEnterprise Search

About the role

Key responsibilities & impact

Own the operational performance of AI-powered solutions after implementation and hypercare
Monitor AI quality, response accuracy, relevance, compliance, adoption, and business outcomes
Track and report key AI performance metrics, including response quality, customer satisfaction, adoption, escalation rates, and solution effectiveness
Develop and maintain operational scorecards covering containment, satisfaction, escalation rates, retrieval effectiveness, response quality, latency, and utilization
Review transcripts and AI conversations to evaluate accuracy, grounding, compliance, and response quality
Identify, troubleshoot, and escalate inaccurate responses, knowledge gaps, workflow failures, hallucinations, retrieval failures, misrouted interactions, and prompt issues
Manage and optimize Knowledge Hub performance through content-gap analysis, search-quality evaluations, source validation, and freshness monitoring
Support Responsible AI monitoring, including privacy validation, governance reporting, audit readiness, bias reviews, and guardrail compliance
Coordinate incident investigations and identify root causes across business and technical teams
Translate operational findings into prioritized backlog items for Product Owners and AI Engineering teams
Measure and report value realization, including productivity gains, self-service adoption, customer outcomes, utilization metrics, and ROI
Develop operational procedures, governance standards, and knowledge-transfer documentation
Drive continuous-improvement initiatives that enhance AI performance, reliability, and business impact
Partner with Product, AI Engineering, Operations, Security, Governance, and business subject-matter experts
Serve as the operational owner of production AI solutions and help define long-term operational standards and best practices

Requirements

What you’ll need

5+ years of experience in technology operations, analytics, product operations, quality engineering, knowledge management, conversational AI, or a related field
Experience supporting AI, conversational AI, digital assistant, chatbot, knowledge management, search, or automation solutions in a production environment
Experience evaluating solution quality through transcript reviews, response evaluations, quality assessments, or operational performance reviews
Strong operational analytics experience with dashboards, KPIs, performance reporting, and trend analysis
Knowledge of search effectiveness, knowledge management, content validation, and content-gap analysis
Experience investigating production incidents and driving root-cause analysis efforts
Understanding of Responsible AI principles, governance frameworks, privacy considerations, and compliance monitoring
Excellent communication skills with the ability to explain operational issues and business impacts to diverse stakeholders
Strong documentation, organizational, and continuous-improvement capabilities
Experience supporting AI solutions within customer service, customer operations, or contact center environments is a bonus
Hands-on experience with Microsoft Copilot Studio, Salesforce Agentforce, enterprise chatbot platforms, or related AI ecosystems is a bonus
Experience with AI observability tools, conversation analytics platforms, and evaluation frameworks is a bonus
Familiarity with Jira or similar work-management platforms is a bonus
Background in regulated, utility, audit-sensitive, healthcare, financial services, or privacy-focused environments is a bonus
Experience supporting enterprise search and retrieval systems is a bonus
Bachelor's degree in Information Technology, Computer Science, Business Analytics, Data Analytics, Engineering, or a related discipline, or equivalent practical experience
Relevant certifications are beneficial but do not replace hands-on production operations experience
Must be authorized to work in the United States

Benefits

Comp & perks

Competitive compensation of $90-$100 per hour
Comprehensive medical plans for you and your dependents
Dental insurance
Vision insurance
HSA with company contribution
Company-sponsored life insurance
Short-term and long-term disability insurance
Voluntary legal, hospital, accident, and pet wellness plans
401(k) with matching
Paid holidays
Paid time off
Career development and advancement opportunities
Collaborative and supportive team culture
Exposure to enterprise AI transformation, Responsible AI practices, governance programs, and AI observability platforms