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Ai Monitoring Jobs in Minnesota (NOW HIRING)

Ecolab

AI Solution Architect

Saint Paul, MN · On-site

$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 ...

Blank Metal Inc

Senior AI Engineer

Minneapolis, MN · On-site

$109K - $149K/yr

Experience building evaluation frameworks and monitoring for AI systems * Technical Leadership : You mentor others, set technical standards, and drive architectural decisions * Strategic Thinking

Blank Metal

AI Product Leader

Minneapolis, MN · On-site

Preferred : • Evaluation harnesses, red-team testing, or model monitoring in production. • ... Blank Metal is an AI-native engineering services company. Founded in 2025, the company is ...

Artius Solutions

AI Product Manager

Chanhassen, MN · On-site

Monitor AI solution performance and track business impact post-deployment. * Communicate progress, insights, and results effectively across teams. Required Skills & Experience * 4+ years of Product ...

Digital Links Inc

AI/ML Engineer

Minneapolis, MN · On-site

... Monitoring, logging, and AI observability Nice-to-Have (Strong Plus) Experience in education / digital learning platforms Exposure to regulated environments Knowledge of TypeScript / Java / SQL ...

Thomson Reuters

Lead AI Forward Engineer

Eagan, MN · On-site

$104K - $137K/yr

Ensure compliance with TR's AI standards for monitoring, governance, privacy, and auditability. AI System Design and Technology Strategy * Evaluate and recommend AI/ML technologies and platforms (LLM ...

THOMSON REUTERS

Lead AI Forward Engineer

Eagan, MN · Remote

$104K - $137K/yr

Ensure compliance with TR's AI standards for monitoring, governance, privacy, and auditability. AI System Design and Technology Strategy * Evaluate and recommend AI/ML technologies and platforms (LLM ...

Thomson Reuters U.S. Inc.

Lead AI Forward Engineer

Eagan, MN · On-site

$104K - $137K/yr

Ensure compliance with TR's AI standards for monitoring, governance, privacy, and auditability. AI System Design and Technology Strategy * Evaluate and recommend AI/ML technologies and platforms (LLM ...

UnitedHealth Group

Senior AI/ML Engineer

Eden Prairie, MN · On-site

$106K - $146K/yr

Implement evaluation and monitoring frameworks for generative AI systems including hallucination detection, bias monitoring, and human-in-the-loop evaluation * Develop safety and governance controls ...

FAVARH

AI Security Architect

Minneapolis, MN

$67.75 - $87.75/hr

Partner with detection and response teams to design monitoring and logging for AI systems Secure Design and Implementation * Engage key business stakeholders to facilitate both strategy and ...

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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 are popular job titles related to Ai Monitoring jobs in Minnesota?

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

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:

Ai Monitoring jobs near you
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 Platform Architect

Tata Consultancy Service Limited

Minneapolis, MN • On-site

$90K - $110K/yr

Full-time

Posted 24 days ago

Job description

AI Platform Architect
3+ years hands-on experience designing and implementing AI/ML or Generative AI solutions in enterprise environments.
Strong experience with LLMs, prompt engineering, RAG, agent workflows, embeddings, vector databases and API-based AI services.
Strong cloud architecture knowledge across Azure, AWS or GCP, plus microservices, APIs, distributed systems and event-driven architecture.
Experience with Python, modern AI/ML frameworks, DevOps, MLOps/LLMOps, CI/CD, infrastructure automation, documentation and architecture governance.
Familiarity with AI governance, model risk management, responsible AI standards, security reviews, red teaming, guardrails and adversarial testing.
Experience integrating AI into ITSM, observability, knowledge systems, workflow engines and regulated enterprise environments.
Define end-to-end architecture for enterprise AI solutions including LLM-based applications, RAG, agentic workflows and model orchestration services.
Design secure, scalable, maintainable and cost-effective AI blueprints across cloud, hybrid and on-premises environments.
Architect prompt orchestration, contextual grounding, embeddings, vector database integration, retrieval quality, hallucination controls and traceability.
Embed security-by-design and responsible AI controls covering IAM, API protection, auditability, logging, monitoring, data leakage and prompt injection mitigation.
Define MLOps/LLMOps, CI/CD, deployment, observability, evaluation framework, production readiness checklist and reusable AI reference architectures.
Salary Range- $90,000-$110,000 a year
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