AI Operations Specialist

Overview

Location: Hybrid Preferred (Minneapolis, MN or Denver, CO) | Remote ConsideredEmployment Type: Full-time

Are you passionate about ensuring AI solutions continue delivering meaningful business value long after deployment? Trissential is seeking an AI Operations Specialist to join our client's team and support the operational success of enterprise AI agents, virtual assistants, and generative AI solutions in production. In this role, you will monitor AI performance, quality, adoption, governance, and business outcomes while partnering with Product, AI Engineering, Operations, and business stakeholders. You will serve as the operational owner of AI solutions in production, ensuring they remain accurate, compliant, effective, and aligned with business objectives.

 

What's in It for You?

• Be the operational owner of cutting-edge AI solutions used across a large enterprise environment
• Drive measurable improvements in AI quality, adoption, customer experience, and business value
• Collaborate with Product, AI Engineering, Operations, Security, Governance, and business subject matter experts
• Gain exposure to Responsible AI practices, enterprise governance programs, and AI observability platforms
• Work in a highly visible role where your insights directly influence AI strategy and operational outcomes
• Help define long-term AI operational standards and best practices across the organization
• Opportunity to contribute to enterprise-wide AI transformation initiatives

Your Role & Responsibilities

• 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 on key AI performance metrics, including response quality, customer satisfaction, adoption, escalation rates, and overall solution effectiveness
• Review transcripts and AI conversations to evaluate accuracy, compliance, and overall response quality
• Identify, troubleshoot, and escalate AI performance issues, including inaccurate responses, knowledge gaps, and workflow failures
• Monitor and improve AI knowledge sources by identifying content gaps, validating information accuracy, and ensuring content remains current
• Support AI governance and compliance activities to ensure solutions meet Responsible AI, privacy, and organizational standards
• 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 to support long-term sustainability
• Drive continuous improvement initiatives that enhance AI performance, reliability, and business impact
• Own the operational performance of AI-powered solutions after implementation and hypercare
• Monitor AI quality, response accuracy, relevance, compliance, adoption, and business outcomes
• 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 overall response quality
• Investigate hallucinations, retrieval failures, misrouted interactions, prompt issues, knowledge gaps, and workflow breakdowns
• Manage and optimize Knowledge Hub performance through content gap analysis, search quality evaluations, source validation, and freshness monitoring
• Support Responsible AI monitoring activities 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 to support long-term sustainability

Skills & Experience You Should Possess

• 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

Bonus Points If You Have

• Experience supporting AI solutions within customer service, customer operations, or contact center environments
• Hands-on experience with Microsoft Copilot Studio, Salesforce Agentforce, enterprise chatbot platforms, or related AI ecosystems
• Experience with AI observability tools, conversation analytics platforms, and evaluation frameworks
• Familiarity with Jira or similar work-management platforms
• Background working within regulated, utility, audit-sensitive, healthcare, financial services, or privacy-focused environments
• Experience supporting enterprise search and retrieval systems

Education & Certifications You Need

• Bachelor's degree in Information Technology, Computer Science, Business Analytics, Data Analytics, Engineering, or a related discipline, or equivalent practical experience
• Relevant certifications in Microsoft technologies, cloud platforms, AI, IT Service Management, Product Operations, Analytics, or Data Management are beneficial
• Certifications are valued but do not replace hands-on production operations experience

What We Offer

At Trissential, we believe talented professionals should have meaningful opportunities to create measurable impact while continuing to grow their careers. By joining our client's team, you'll help shape the future of enterprise AI operations while working in a collaborative and supportive environment.

• Competitive Compensation – $90-$100 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.
• Comprehensive Benefits for you and your dependents – Extensive Medical Plans, Dental, Vision, HSA with company contribution, company sponsored Life Insurance and Short / Long term disability insurance, a host of voluntary plans including legal, hospital, accident, pet wellness, and 401k with matching
• Paid Holidays and Paid Time Off
• Career Development and Advancement – Expleo is a global company in 29 Countries worldwide with a high focus on development
• Strong Team Culture – Collaborate with experienced professionals who value precision, performance, and teamwork

Please note: This position is open only to candidates authorized to work in the United States.

Ready to be part of something exciting?

If you're passionate about operational excellence, AI quality, governance, and ensuring AI delivers measurable business value, we encourage you to apply and help shape the future of enterprise AI operations with Trissential and our client.