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Generative Ai Chatbot Jobs in Minnesota (NOW HIRING)

Customer AI Operations Engineer

Minneapolis, MN · On-site +1

$72K - $98K/yr

... generative AI solutions in production. This is a unique opportunity to influence AI quality ... Hands-on experience with Microsoft Copilot Studio, Salesforce Agentforce, enterprise chatbot ...

Customer AI Operations Engineer

Minneapolis, MN · On-site

$72K - $98K/yr

... generative AI solutions in production. This is a unique opportunity to influence AI quality ... Hands-on experience with Microsoft Copilot Studio, Salesforce Agentforce, enterprise chatbot ...

Customer AI Operations Engineer

Minneapolis, MN · On-site +1

$72K - $98K/yr

... generative AI solutions in production. This is a unique opportunity to influence AI quality ... Hands-on experience with Microsoft Copilot Studio, Salesforce Agentforce, enterprise chatbot ...

Contribute to AI chatbot and Retrieval-Augmented Generation (RAG) initiatives when applicable. Work ... Exposure to Generative AI technologies and Large Language Model (LLM) integrations. * Experience ...

Contribute to AI chatbot and Retrieval-Augmented Generation (RAG) initiatives when applicable. Work ... Exposure to Generative AI technologies and Large Language Model (LLM) integrations. * Experience ...

Generative Ai Chatbot information

What is a generative AI chatbot?

A Generative AI Chatbot is an artificial intelligence system designed to engage in human-like conversations by generating responses to user inputs in real time. Unlike traditional rule-based chatbots that rely on predefined scripts, generative AI chatbots use advanced machine learning models—often based on large language models—to understand context and produce original, relevant responses. These chatbots can be used in customer service, education, entertainment, and more, offering personalized and dynamic interactions. They continue to improve as they process more data and user interactions.

What are some common challenges faced by professionals working on generative AI chatbot development, and how can they be addressed?

Professionals developing generative AI chatbots often encounter challenges such as managing ambiguous user inputs, ensuring conversational relevance, and maintaining ethical standards like avoiding biased or inappropriate responses. Collaboration with interdisciplinary teams—including data scientists, linguists, and UX designers—is vital to continuously improve the chatbot's performance. Regular testing, user feedback, and fine-tuning of language models are essential practices to address these challenges and enhance the chatbot's ability to handle diverse real-world conversations.

What are the key skills and qualifications needed to thrive as a generative AI chatbot developer, and why are they important?

To thrive as a Generative AI Chatbot Developer, you need strong programming expertise (especially in Python), a solid understanding of machine learning and natural language processing (NLP), and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with APIs, and knowledge of cloud platforms such as AWS or Azure are commonly required, along with relevant AI or ML certifications. Creativity, problem-solving, and effective communication are vital soft skills for designing engaging, user-friendly conversational experiences and collaborating with cross-functional teams. These skills are crucial for building reliable, scalable, and innovative AI chatbots that meet user needs and business objectives.

What is the difference between Generative Ai Chatbot vs Data Scientist?

AspectGenerative Ai ChatbotData Scientist
Required CredentialsBasic programming, AI/ML knowledgeDegree in Data Science, Statistics, or related field
Work EnvironmentTech companies, customer service platformsResearch labs, corporate analytics teams
Industry UsageAutomated customer interactions, content generationData analysis, predictive modeling, insights
Search & Comparison IntentUnderstanding AI chatbot capabilitiesData analysis skills and roles

Generative Ai Chatbots focus on creating conversational AI for customer engagement, requiring programming and AI knowledge. Data Scientists analyze data to generate insights, often with advanced degrees. While both work in tech environments, their roles differ in purpose and skill set.

What are popular job titles related to Generative Ai Chatbot jobs in Minnesota?

For Generative Ai Chatbot jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Generative Ai Chatbot jobs in Minnesota look for?

The top searched job categories for Generative Ai Chatbot jobs in Minnesota are:

What cities in Minnesota are hiring for Generative Ai Chatbot jobs?

Cities in Minnesota with the most Generative Ai Chatbot job openings:

Customer AI Operations Engineer

Minneapolis, MN • On-site, Remote

Expleo
IT Services • 10K+ employees

$72K - $98K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


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.

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.

Employment Type: OTHER