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Ai Monitoring Jobs in Michigan (NOW HIRING)

Ensure AI systems meet standards for reliability, monitoring, cost management, and incident response . * Establish guardrails for responsible AI : data privacy, model risk, transparency, bias ...

AI/RPA Engineer

Kalamazoo, MI · On-site

$175K - $200K/yr

... monitoring • Early-warning indicators for client risk and escalation • Integrate AI outputs into clinical workflows, dashboards, and alerts. • Partner with clinical leadership to ensure ...

AI Agentic Engineer It's more than a job We are seeking an Agentic AI Engineer to design and scale ... Build monitoring, logging, and explainability capabilities for transparency and auditability

Establish and maintain monitoring, logging, and evaluation frameworks for LLM-driven applications ... Ensure all AI solutions meet enterprise standards for data privacy, security, compliance, and ...

Establish robust data pipelines, telemetry, and feedback loops, enabling continuous model validation, performance monitoring, and iterative improvement of AI capabilities in production * Define the ...

Establish robust data pipelines, telemetry, and feedback loops, enabling continuous model validation, performance monitoring, and iterative improvement of AI capabilities in production * Define the ...

Midlevel AI Developer

Ann Arbor, MI · On-site

$50 - $55/hr

Develop automated testing, monitoring, and observability for AI applications, and participate in production troubleshooting and incident resolution. Collaborate with product owners and business ...

Establish robust data pipelines, telemetry, and feedback loops, enabling continuous model validation, performance monitoring, and iterative improvement of AI capabilities in production * Define the ...

Ensure AI systems meet standards for reliability, monitoring, cost management, and incident response . * Establish guardrails for responsible AI : data privacy, model risk, transparency, bias ...

Develop model monitoring and drift detection systems for AI features running in production and test environments. * Collaborate with system architects to integrate AI model validation into existing ...

AI Software Developer

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

Develop automated testing, monitoring, and observability solutions for AI applications, ensuring operational excellence. * Collaborate closely with product owners and business stakeholders ...

Showing results 41-60

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 Michigan as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 12% Part Time, 2% Temporary, 5% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

AVP, Business Analytics & AI

Amerisure Mutual Insurance Company

Farmington Hills, MI • On-site

Full-time

Medical, Retirement, PTO

Re-posted 7 days ago


Job description

Amerisure creates exceptional value for its partners, policyholders, and employees. As a property and casualty insurance company, Amerisure's promise to our partner agencies and policyholders begins with a comprehensive line of insurance products designed to protect businesses, as well as the health and safety of every employee. With an A.M. Best "A" (Excellent) rating, Amerisure serves mid-sized commercial enterprises focused in construction, manufacturing and healthcare. Ranked as one of the top 100 Property & Casualty companies in the United States, we proudly manage nearly $1 Billion of Direct Written Premium and maintain $1.21 billion in surplus.
Amerisure is currently recruiting for an AVP, Business Analytics & AI that can do a 3-day hybrid approach onsite in our Farmington Hills office. The ideal candidate will also possess the following skill set.
Summary Statement
Enterprise business leader responsible for execution and delivery of the enterprise data, analytics, and AI strategy in partnership with the CIDO and business leaders. Drives measurable business outcomes, builds data- and AI- culture, and governs data and AI for trusted reusable products. This role leads analytics products, data engineering, data governance, and enterprise AI execution including AI portfolio management and AI Operations to support profitable growth and operational efficiency. The AVP partners closely with business and technology leaders to embed trusted, value-driven data, analytics and AI across the organization.
Essential Tasks/Major Duties
  • Lead, direct, and develop staff in area of responsibility with an emphasis on talent management and succession planning in accordance with the company's strategic direction.
  • Execute the enterprise data, analytics, and AI strategy through roadmap delivery and portfolio management, including intake, prioritization, planning, value tracking, and benefits realization.
  • Partner with business leaders to design, deliver, and embed analytics and AI solutions-including dashboards, models, and AI-enabled decision support-driving adoption and measurable business outcomes.
  • Lead analytics product management and AI factory, including lifecycle management, monitoring, drift detection, value tracking, and assessment of AI-related operational, regulatory, and business risks in compliance with enterprise governance standards.
  • Define and monitor KPIs for adoption, quality, timeliness, and business impact; present insights to senior leadership.
  • Serve as the bridge between business and technology, ensuring successful delivery of data-driven initiatives.
  • Operationalize data governance, privacy, stewardship, and AI risk controls by partnering with Legal, Compliance, and Risk to ensure execution readiness, required reviews, and compliant documentation.
  • Partner with Architecture and technology teams to ensure scalable data architecture, reliable integration and interoperability, security, and effective data lifecycle, retention, and recovery practices supporting continuity and regulatory needs.
  • Guide investments in analytics talent, platforms, and technologies, and oversee vendor and system integrator performance, delivery outcomes, and value realization.
  • Champion enterprise data and AI fluency, driving a data-driven culture through training, communication, and engagement.

Knowledge, Skills & Abilities
  • Bachelor's degree in Data Science, Computer Science, Business, Statistics, or related field required; Master's degree preferred.
  • 15 years of progressive experience in data, analytics, AI, or technology-related roles, with increasing responsibility and scope.
  • 7 years of formal leadership experience, including leading cross-functional teams and, preferably, managers or senior individual contributors.
  • Demonstrated success delivering enterprise-scale data, analytics, or AI initiatives that drive measurable business outcomes.
  • Experience operating within P&C insurance, including collaboration with Risk, Compliance, Legal, and Audit stakeholders.
  • Proven ability to partner effectively with business leaders and technology teams to translate strategy into execution, adoption, and realized value.
  • Deep understanding of data architecture, data governance, advanced analytics (AI/ML), and analytics tools.
  • Hands-on familiarity with Databricks, AWS, Cliz, and integration to core P&C platforms (e.g., Guidewire).
  • Experience operationalizing genAI/agentic AI in regulated environments (prompt engineering and evaluation, RAG/knowledge management, content moderation, cost & latency optimization).
  • Demonstrated success implementing NAIC/NIST-aligned AI governance and model risk management.
  • Proven results shipping AI at scale in at least two of: underwriting workbench, claims assistant/triage, pricing experimentation platform, knowledge management for frontline staff preferred

#LI-BR1
Just as we are committed to creating exceptional value for our Partners For Success® agencies and policyholders, Amerisure also remains committed to being an employer of choice. We reinforce this commitment by adhering to an Employee Value Proposition that, in part, is provided through a competitive total rewards package. This package includes competitive base pay, performance-based incentive pay, comprehensive health and welfare benefits, a 401(k) savings plan with profit sharing, and generous paid time off programs. We also offer flexible work arrangements to promote work-life balance. Recognized as one of the Best and Brightest® Companies to Work For in the Nation and one of Business Insurance magazine's Best Places to Work in Insurance, we provide a workplace that fosters excellence and professional growth. If you are looking for a collaborative and rewarding career, Amerisure is looking for you.
Amerisure Mutual Insurance Company is an Equal Employment Opportunity employer. Amerisure provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex (to include sexual orientation and gender identity), national origin, age, disability, genetic information, veteran status, or any other protected characteristic under applicable federal, state, or local laws. Amerisure complies with all applicable laws governing nondiscrimination in employment in all locations where the company operates. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Amerisure prohibits harassment or discrimination of any kind and is committed to maintaining a workplace free from unlawful harassment or discrimination. Amerisure prohibits retaliation against anyone who reports discrimination, participates in an investigation, or opposes unlawful practices. Any improper interference with an employee's ability to perform their job duties may result in disciplinary action, up to and including termination.