1

Ai Monitoring Jobs in Minnesota (NOW HIRING)

AI/ML Engineer

Eden Prairie, MN · Remote

$98K - $176K/yr

  • Retirement

Design, develop, and deploy AI-powered solutions, LLM workflows, prompt chains, agents, RAG ... Monitor and continuously improve output quality, hallucination risk, relevance, accuracy ...

ServiceNow Deployment- Senior Associate

Minneapolis, MN · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 Architect

Minneapolis, MN · On-site

$160K - $220K/yr

  • Medical

  • Dental

  • Vision

  • PTO

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

AI Engineer

Minneapolis, MN · On-site

$85K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Performance Monitoring & Reliability * Establish observability for AI workloads (metrics, logs, alerts). * Maintain 99.9% uptime and rapid recovery for critical AI services. Collaboration & Support

AI Engineer

Minneapolis, MN

$85K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Performance Monitoring & Reliability * Establish observability for AI workloads (metrics, logs, alerts). * Maintain 99.9% uptime and rapid recovery for critical AI services. Collaboration & Support

AI Engineer

Minneapolis, MN · On-site

$85K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Performance Monitoring & Reliability * Establish observability for AI workloads (metrics, logs, alerts). * Maintain 99.9% uptime and rapid recovery for critical AI services. Collaboration & Support

AI Scientist

Minneapolis, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Monitor, evaluate, and experiment with emerging AI technologies, research breakthroughs, and industry trends, with particular emphasis on generative AI, large language models (LLMs), multimodal AI ...

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 ...

Generative AI Architect

Minneapolis, MN · On-site

$65.75 - $86.75/hr

Establish MLOps and LLMOps frameworks for deployment and monitoring. * Lead architecture reviews and solution design workshops. * Mentor development and AI engineering teams. * Support client ...

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Develop and implement strategies for model deployment, inference, and monitoring, with an emphasis ...

AI Security Architect

Minneapolis, MN · On-site

$67.75 - $87.75/hr

... monitoring • Establish AI security governance frameworks, guardrails, and risk management practices aligned with enterprise security architecture and compliance requirements • Ensure secure use ...

AI Solution Architect

Saint Paul, MN

$63.75 - $84/hr

Establish evaluation frameworks, monitoring patterns, observability standards, and performance metrics to ensure reliable AI solution operation. * Lead architecture decisions regarding model ...

Sr. AI Integration Engineer

Chaska, MN

$111K - $150K/yr

Monitor, evaluate, and optimize the accuracy, reliability, cost, and business effectiveness of deployed AI workflows and integrations. * Documentation: Maintain clear technical documentation ...

next page

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.

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

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

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.

AI Fullstack Developer in Minneapolis MN - Onsite

Winning Edge Solutions, LLC

Minneapolis, MN • On-site

Other

Re-posted 26 days ago


Job description

Role: AI Fullstack Developer

Location: Minneapolis MN (Onsite)

Duration: 12+ Month Contract

Key Skills: LLM/GenAI Integration, Python/Java/.NET, API Development, LangChain/AI Agents, React (Full Stack Development), System Design & Architecture, Prompt Engineering, AI Workflows, CI/CD & Git, Observability & AI Monitoring

Job Description:

Proven experience in LLM / GenAI integration in real applications

Strong API development and backend engineering expertise

Ability to design and clearly explain system architecture (not just implementation)

Practical experience with:

    • Prompt engineering
    • AI workflows (LangChain, agents, tool integrations)
    • Observability, feedback loops, and AI evaluation

Strong communication skills and ownership mindset

Roles & Resposibilities:

Build full-stack applications that integrate AI/ML outputs into user-facing and backend workflows.

Develop APIs and services that orchestrate model inference, prompt flows, and agent/tool integrations.

Implement UI/UX experiences for AI-enabled features (explanations, feedback loops, human-in-the-loop controls).

Apply secure SDLC practices: code reviews, testing, dependency management, and vulnerability remediation.

Partner with architects and platform teams to align to standards and reuse shared components.

5+ years building production software (backend and/or frontend) in Java/Python/.NET ecosystems.

Experience with web frameworks and modern UI (React or similar) and REST API development.

Working knowledge of CI/CD, Git workflows, and automated testing.

Comfort integrating with ML services, LLM/agent runtimes, or data platforms via APIs.

Strong problem-solving skills and ability to deliver iteratively in an agile environment.

Experience building internal tools or copilots with prompt engineering and tool/function calling.

Experience with observability for AI features (quality metrics, prompt/model versioning).

UX experience designing AI interactions and feedback capture.

About Us WinningEdge:

Job Search can be a painful & frustrating process. We take time to understand candidate skill sets, and job search preferences and match them with our ideal clients. Our team has a combined experience of over 100 years and we have successfully placed hundreds of candidates
AI Fullstack DeveloperMinnesota