Customer AI Operations Engineer

Overview: **Location:** Hybrid Preferred (Minneapolis, MN or Denver, CO) \| Remote Considered **Employment Type:** Full\-time Are you passionate about ensuring AI solutions deliver real business value after deployment? Trissential is seeking a **Customer AI Operations Engineer** to join our client's team and take ownership of the operational success of enterprise AI agents, virtual assistants, and generative AI solutions in production. This is a unique opportunity to influence AI quality, governance, adoption, and business outcomes while partnering with product, engineering, operations, and business stakeholders. **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 ROI * Collaborate with Product, AI Engineering, Operations, Security, Governance, and business SMEs * 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 * Opportunity to help define long\-term AI operational standards and potentially transition into a permanent role **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 * 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 * At least 2 years supporting AI agents, conversational AI platforms, virtual assistants, or generative AI