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Ai Monitoring Jobs in Michigan (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

The DOC AI is a Google Cloud product that is used to scan paper marriage licenses, extract index ... Familiarity with debugging tools and performance monitoring to ensure the chatbot runs smoothly.

AI Agent Engineer

Warren, MI · On-site

$150 - $200/hr

## AI Agent EngineerApplyremote type: Hybridlocations: Warren, Michigan, United States of America ... Agent lifecycle management + Define and implement monitoring, logging, and feedback loops to ...

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.

What are popular job titles related to Ai Monitoring jobs in Michigan?

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

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.

Director, Technical AI Solutions

BetMGM

Three Rivers, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Key responsibilities

  • Own the AI portfolio intake process, including evaluation and prioritization, in partnership with PMO.

  • Translate enterprise AI strategy and portfolio priorities into an executable delivery roadmap with milestones and success metrics.

  • Provide leadership and oversight to the technical AI team responsible for AWS-based platforms, frameworks, and early use cases.


BetMGM rating

7.7

Company rating: 7.7 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

6th of 15 rated gambling companies


Job description

Discover What's Possible at BetMGM
Ready to make your career legendary? Join us as we bring the magic of Vegas to our players. The BetMGM team has over 1,400 talented members, revolutionizing sports betting and online gaming in the United States and Canada. We're a brand with technology at our hearts and the most driven and focused talent in the business.
As a valued team member, we're committed to giving you the resources and support you need to thrive. Our benefits and perks include:

  • Medical, Dental, Vision, Life, and Disability Insurance

  • 401(k) with company match

  • Pre-tax spending accounts including health care FSA and commuter savings

  • Flexible paid time off

  • Professional development reimbursement and ongoing skills training opportunities

  • Employee resource groups

  • Swag, ticket giveaways, and more!

At BetMGM, we recognize that every individual plays a meaningful role in our success. That's why we're committed to building a respectful, inclusive workplace. It's the strategy behind every win. By meeting people where they are, we create a culture of belonging where everyone can thrive and a workplace that reflects our values, our people, and our drive to win.

The Opportunity

About the Role

The Director, Technical AI Solutions is accountable for translating BetMGM's AI strategy into a prioritized, governed, and executable portfolio of AI initiatives. This role owns the AI portfolio intake and delivery model, partnering closely with PMO to balance business value, delivery capacity, risk, and timing.

The Director leads AI delivery through a Technical AI Director/Builder responsible for AWS-based platforms, agentic frameworks, and early use cases-ensuring solutions move efficiently from intake to production while meeting enterprise standards for security, compliance, and scalability.
This role blends portfolio leadership, delivery accountability, and platform stewardship.


Responsibilities

  • Own the AI portfolio intake process, including intake criteria, evaluation frameworks, and prioritization mechanisms, in close partnership with PMO to align AI demand with enterprise planning cycles, capacity management, and dependencies.

  • Evaluate AI opportunities based on business value, measurable outcomes, technical feasibility, delivery effort, risk, compliance considerations, timetoimpact, and scalability potential.

  • Maintain a transparent, prioritized AI roadmap and communicate sequencing decisions, tradeoffs, and delivery status to executive and crossfunctional stakeholders.

  • Translate enterprise AI strategy and approved portfolio priorities into an executable delivery roadmap with clear milestones, ownership, and success metrics.

  • Define, track, and report on realized value from AI initiatives, including cost reduction, revenue enablement, customer experience improvements, and operational efficiency gains.

  • Establish and own the AI delivery operating model, including standardized AI and agent SDLC practices, production readiness criteria, release management, monitoring, and incident response.

  • Define reusable architecture patterns, tooling standards, and platform guardrails that enable consistent, secure, and scalable AI solution delivery.

  • Provide leadership, direction, and oversight to the Technical AI Director/Builder responsible for AWSbased AI platforms, agentic frameworks, core infrastructure, and early production use cases.

  • Balance rapid experimentation and proofofvalue delivery with longterm platform sustainability, reliability, and enterprise readiness.

  • Partner with Security, Legal, Compliance, and Technology Risk teams to operationalize AI governance and ensure solutions meet regulatory, privacy, and security requirements.

  • Ensure AI risk management is embedded into delivery processes through builtin controls, monitoring, and clearly defined escalation paths.

  • Serve as the primary AI delivery partner to Product, Operations, Marketing, Customer Experience, and Technology teams, translating technical progress into businessrelevant insights.

  • Manage crossfunctional dependencies and resolve delivery risks, blockers, and prioritization conflicts using sound judgment and enterpriselevel perspective.

  • Lead, coach, and develop AI leaders and senior contributors, establishing clear goals, expectations, and development paths.

  • Build workforce and hiring plans aligned to the growth and maturity of the AI portfolio and platform capabilities.

Qualifications

Required

  • 10+ years in software/data/ML engineering leadership, including responsibility for delivering production platforms or mission-critical services.

  • Proven experience scaling delivery from proof-of-concept to production (operating model, quality, reliability, stakeholder management).

  • Strong cloud and modern engineering background (e.g., AWS ecosystem; CI/CD; observability; security fundamentals).

  • Demonstrated ability to manage leaders (e.g., managing a "builder" director/manager-level role) and drive outcomes through others.

Preferred

  • Experience delivering AI/ML platforms or agent-based/automation solutions in production.

  • Familiarity with model risk management, governance patterns, and enterprise data/privacy constraints.

  • Experience in highly regulated or consumer-facing digital products where reliability, security, and trust are essential.

  • Strong vendor/partner management experience (platform tools, consultancies, managed services).

The annual salary range for this position is $176,240 to $230,000. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. This position is also eligible for participation in a performance-based bonus plan.

Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration sponsorship. At this time, this role is not eligible for immigration-related employment authorization sponsorship including H-1B, O-1, E-3, TN, OPT, etc.


Compensation


The pay range for this position is as follows:


176,200.00--235,000.00

Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. This position is also eligible for participation in a performance-based bonus plan.

Gaming Compliance & Licensing Requirements
As an online gaming company, BetMGM is required to comply with state gaming regulations which includes licensing obligations. Applicable employees must be licensed by at least one jurisdictional agency, although certain positions require licensing by multiple agencies. Failure to become licensed or maintain licensure with each agency as required for the role may result in termination of employment. Please note that the licensing process includes comprehensive background checks which may include a review of criminal records, financial history, and personal background verification.
In addition, candidates must comply with and support BetMGM's responsible gambling policies, procedures, and initiatives.

About BetMGM
BetMGM is revolutionizing sports betting and online gaming in the United States and Canada. We are a partnership between two powerhouse organizations-MGM Resorts International and Entain Group. You know our name through our exciting portfolio of brands including BetMGM Casino, BetMGM Sportsbook, Borgata Online, Party Casino and Party Poker. We aim to bring our ideas into action and find ways to deliver the best quality in gaming platforms.

BetMGM LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants.
If you need assistance or accommodation with your application due to a disability, you may contact us at recruitment@betmgm.com.

This job description is not an exclusive or exhaustive list of duties a person in this position may be asked to perform from time to time.

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