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Ai Monitoring Jobs in Minnesota (NOW HIRING)

Customer AI Operations Engineer

Minneapolis, MN · On-site +1

$72K - $98K/yr

Monitor AI quality, response accuracy, relevance, compliance, adoption, and business outcomes * Develop and maintain operational scorecards covering containment, satisfaction, escalation rates ...

Customer AI Operations Engineer

Minneapolis, MN · On-site +1

$72K - $98K/yr

Monitor AI quality, response accuracy, relevance, compliance, adoption, and business outcomes * Develop and maintain operational scorecards covering containment, satisfaction, escalation rates ...

Customer AI Operations Engineer

Minneapolis, MN · On-site

$72K - $98K/yr

Monitor AI quality, response accuracy, relevance, compliance, adoption, and business outcomes * Develop and maintain operational scorecards covering containment, satisfaction, escalation rates ...

AI Engineer - VA

Virginia, MN · On-site

$150 - $200/hr

Monitor the LLM landscape across providers to identify deprecation timelines and suitable ... AI Pipeline Optimization: Directly implement optimizations to LLM-based orchestration pipelines for ...

Cloud AI Ops / AI Monitoring; and, Cloud Discovery. Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $77,000 - $202,000. Actual compensation within the range ...

AI Quality Engineer (AI QE)

Edina, MN · On-site

$74K - $96K/yr

... monitoring, telemetry, and reliability • Partner with AI Engineering, Data, Security, Governance, and Product teams • Validate AI-enabled healthcare/business workflows • Provide technical ...

AI Architect

Minneapolis, MN · On-site

$160K - $220K/yr

... monitoring, governance, retraining, security, observability, and release controls. • Modern data ... Roles & Responsibilities • Define and lead AI, GenAI, and agentic AI architecture for enterprise ...

AI Architect

Minneapolis, MN · On-site

$200 - $250/hr

This role sits at the intersection of generative AI architecture and data engineering, requiring someone who can design intelligent, autonomous systems (agents) that orchestrate, monitor, and ...

Join a dynamic AI Center of Excellence as an AI Engineer, where you'll help shape innovative ... Understanding of MLOps practices, including CI/CD, model versioning, and model monitoring

AI/ML Engineering & MLOps Experience developing, evaluating, deploying, and monitoring ML/LLM solutions, including LLM evaluation metrics, hallucination reduction, safety guardrails, CI/CD, cloud ...

Sr.AI Engineer

Minnetonka, MN · On-site

$106K - $146K/yr

Develop evaluation, benchmarking, monitoring, and observability capabilities for AI and agentic systems, and investigate issues through systematic root-cause analysis. * Identify manual, inefficient ...

AI Architect

Eden Prairie, MN · On-site

$190K - $230K/yr

Own AI/MLOps and AI telemetry end-to-end ... Model deployment and versioning, eval pipelines, drift and quality monitoring, cost and latency ...

Senior AI Engineer

Minneapolis, MN · Remote

$109K - $149K/yr

Develop and maintain end-to-end AI/ML pipelines covering data ingestion, training, evaluation, deployment, and monitoring in cloud environments. * Integrate cloud-native and third-party AI services ...

AI Solutions Manager

Centerville, MN · On-site +1

$83K - $89K/yr

Monitors organizational AI adoption and effectiveness, using qualitative and quantitative indicators to measure value, identify risks and guide continuous improvement * Supports changemanagement ...

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Showing results 1-20

Ai Monitoring information

What is AI monitoring?

AI monitoring refers to the process of continuously observing and analyzing artificial intelligence systems to ensure they operate as intended. This includes tracking performance, detecting anomalies, ensuring compliance with ethical guidelines, and identifying potential biases or errors. Effective AI monitoring helps organizations maintain transparency, improve system reliability, and ensure that AI models make fair and accurate decisions. It is essential in applications where AI impacts critical business or societal outcomes.

What are some common challenges faced by professionals in AI monitoring roles, and how can they be addressed?

Professionals in AI Monitoring often encounter challenges such as managing large volumes of data, identifying and responding to atypical model behavior, and ensuring compliance with ethical and regulatory standards. Staying updated on the latest AI trends and best practices, utilizing robust monitoring tools, and collaborating closely with data scientists and engineers can help address these challenges. Regular training and open communication within cross-functional teams are also essential to maintain effective oversight and quickly mitigate potential issues.

What are the key skills and qualifications needed to thrive as an AI monitoring specialist, and why are they important?

To thrive as an AI Monitoring Specialist, you need a solid understanding of data analysis, machine learning concepts, and system monitoring, often supported by a degree in computer science or a related field. Familiarity with monitoring platforms like Datadog, Prometheus, or Splunk, as well as experience with scripting languages and AI model management tools, is typically required. Attention to detail, critical thinking, and strong communication skills help specialists identify issues quickly and collaborate with technical teams. These skills and qualities are crucial for ensuring AI systems operate reliably, securely, and efficiently in real-world applications.

What is the difference between Ai Monitoring vs Data Analyst?

AspectAi MonitoringData Analyst
Required CredentialsTypically requires knowledge of AI systems, programming, and data analysis toolsRequires statistical, analytical, and data visualization skills, often with a degree in data science or related fields
Work EnvironmentOften involves monitoring AI systems in real-time, using specialized software, in tech or AI-focused companiesAnalyzes data sets, creates reports, and provides insights, working in various industries like finance, marketing, or healthcare
Employer & Industry UsageCommon in AI development firms, tech companies, and organizations deploying AI solutionsWidely used across industries for decision-making, reporting, and strategic planning

While both roles involve working with data, Ai Monitoring focuses on overseeing AI system performance and ensuring operational accuracy, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

Infographic showing various Ai Monitoring job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, 5% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Customer AI Operations Engineer

Minneapolis, MN • On-site

Trissential, LLC
IT Services • 51 - 200 employees

$150 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

Overview

Location: Hybrid Preferred (Minneapolis, MN or Denver, CO) | Remote ConsideredEmployment 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 solutions in a production environment
  • Experience evaluating AI responses through transcript reviews, response grading, hallucination analysis, and quality scorecards
  • Strong operational analytics experience with dashboards, KPIs, performance reporting, and trend analysis
  • Knowledge of retrieval operations, search effectiveness, knowledge management, source 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 AI quality issues and business impacts to diverse stakeholders
  • Strong documentation, organizational, and continuous-improvement capabilities

Bonus Points If You Have

  • Experience supporting AI agents 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, Cloud Technologies, AI, IT Service Management, Product Operations, Analytics, or Data Management are beneficial
  • Certifications are valued but do not replace hands-on production AI 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.

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