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Senior Artificial Intelligence Testing Jobs in Michigan

THOMSON REUTERS

Senior Applied Scientist

Ann Arbor, MI · Hybrid

$89K - $122K/yr

About the Role As a Senior Applied Scientist, you will lead end-to-end applied research projects ... Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI ...

General Motors

AI/ML Senior Researcher

Warren, MI · On-site

$92K - $117K/yr

... Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), World Models, and Agentic AI skills to perform leading edge research in the area of Smart Manufacturing Systems.

General Motors

AI/ML Senior Researcher

Warren, MI · On-site

$92K - $117K/yr

... Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), World Models, and Agentic AI skills to perform leading edge research in the area of Smart Manufacturing Systems.

Deloitte

Cyber Senior Consultant - AI SOC

Detroit, MI · On-site

Experience applying artificial intelligence, machine learning, or large language model workflows to ... As a Senior Consultant - Cyber Defense and Resilience, you will help deliver security engineering ...

Deloitte

AI Senior Manager - SFL Scientific

Detroit, MI · On-site

... artificial intelligence (AI) technologies to support and transform our partners and clients. Our ... As a Senior Manager, you will define and execute our strategy for AI, ML, and GenAI services-from ...

RHP Staffing

Senior Cyber Security Analyst

Farmington, MI

$98K - $126K/yr

The Senior Cyber Security Analyst is responsible for leading Cyber Security initiatives to build ... Familiarity with cloud security (Azure), Artificial Intelligence, & DevSecOps practices * Strong ...

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Senior Artificial Intelligence Testing information

What is a senior artificial intelligence testing professional?

Senior Artificial Intelligence Testing professionals are experienced specialists responsible for designing, executing, and overseeing tests to ensure the quality, reliability, and ethical standards of AI systems. They develop test plans, create testing frameworks, and analyze AI model behaviors to identify errors, biases, or security vulnerabilities. They often collaborate with data scientists, engineers, and product managers to refine AI algorithms and ensure they perform as intended in real-world scenarios. Their role is critical in maintaining trust and safety in AI-driven products and services.

What skills and qualifications are needed to thrive as a senior artificial intelligence testing professional?

To thrive as a Senior Artificial Intelligence Testing professional, you need expertise in software testing methodologies, machine learning concepts, and proficiency in programming languages like Python, along with a degree in computer science or a related field. Familiarity with AI testing frameworks, automated testing tools (such as TensorFlow, PyTorch, Selenium), and relevant certifications (like ISTQB) is often required. Strong analytical thinking, attention to detail, and effective communication skills distinguish top performers in this role. These competencies are critical to ensuring the quality, reliability, and ethical integrity of AI systems in complex, real-world applications.

What are common challenges faced by senior artificial intelligence testing professionals, and how can they be addressed?

Senior Artificial Intelligence Testing professionals often encounter challenges such as ensuring the reliability of complex AI models, dealing with insufficient or biased data, and validating unpredictable outputs. Addressing these issues typically involves developing comprehensive test plans, employing advanced testing frameworks, and collaborating closely with data scientists and engineers. Regular communication with cross-functional teams and staying updated on the latest AI testing methodologies are also essential for overcoming these challenges and ensuring robust, ethical AI systems.

What is the difference between Senior Artificial Intelligence Testing vs Machine Learning Engineer?

AspectSenior Artificial Intelligence TestingMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, experience in AI testing toolsBachelor's or Master's in CS, strong programming skills, knowledge of ML frameworks
Work EnvironmentAI development teams, quality assurance, testing labsData science teams, software development environments, cloud platforms
Employer & Industry UsageTech companies, AI-focused firms, research institutionsTech companies, startups, research labs, AI product companies
Common Search & Comparison IntentUnderstanding testing roles in AI projectsDeveloping and deploying machine learning models

While Senior Artificial Intelligence Testing focuses on evaluating and validating AI systems for accuracy and reliability, Machine Learning Engineers design, build, and optimize machine learning models. Both roles require a strong background in computer science and AI, but their core responsibilities differ: testing emphasizes quality assurance, whereas engineering emphasizes model development and deployment.

How do I become a senior artificial intelligence testing?

To become a senior artificial intelligence testing professional, candidates typically need a strong background in computer science, machine learning, or related fields, along with experience in AI development and testing. Proficiency in programming languages like Python, knowledge of AI frameworks, and familiarity with testing tools are essential, often complemented by advanced degrees or certifications in AI or software testing. Progression usually involves gaining experience in AI projects, demonstrating leadership skills, and staying updated with emerging AI technologies and testing methodologies.

Is senior artificial intelligence testing a good career?

Senior artificial intelligence testing is a specialized role that involves evaluating AI systems for accuracy, reliability, and safety, often requiring skills in programming, data analysis, and understanding of machine learning models. It is a growing field with increasing demand as AI technologies expand across industries, offering opportunities for career advancement and specialization. The role typically requires experience, technical certifications, and knowledge of testing tools and frameworks.

What are popular job titles related to Senior Artificial Intelligence Testing jobs in Michigan?

For Senior Artificial Intelligence Testing jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Senior Artificial Intelligence Testing jobs in Michigan look for?

The top searched job categories for Senior Artificial Intelligence Testing jobs in Michigan are:

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Cities in Michigan with the most Senior Artificial Intelligence Testing job openings:

Senior Artificial Intelligence Testing jobs near you

Chief Technology & Innovation Officer - 4Front Credit Union (Traverse City, MI) (Traverse City)

Cutoday USA

Traverse City, MI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Chief Technology & Innovation Officer - 4Front Credit Union (Traverse City, MI)

Published: July 28, 2026

Type: Full Time

Qualifications

Education

  • Bachelor’s degree in Information Technology, Computer Science, Cybersecurity, Information Systems, Business Administration, or a related field required
  • Master’s degree in a related discipline preferred
  • Equivalent combinations of advanced education and directly relevant executive experience may be considered

________________________________________

Experience

  • 10–15 years of progressively responsible experience in technology, cybersecurity, innovation, digital transformation, data, or related functions
  • Minimum of seven years in a senior or executive leadership role
  • Demonstrated success leading enterprise technology strategy, cybersecurity, organizational transformation, and complex strategic initiatives
  • Experience developing and managing operating and capital budgets, vendor portfolios, and major technology investments
  • Experience advising executive leadership and Boards on technology strategy, cybersecurity, risk, innovation, and organizational performance
  • Financial services, credit union, banking, or another highly regulated industry experience strongly preferred
  • Experience leading artificial intelligence, automation, digital modernization, data governance, or enterprise analytics initiatives preferred

________________________________________

Knowledge & Leadership Capabilities

  • Enterprise technology strategy and architecture
  • Cybersecurity, information security, technology risk, business continuity, and disaster recovery
  • Artificial intelligence, automation, innovation, and emerging technology governance
  • Data strategy, governance, analytics, and data-driven decision-making
  • Enterprise transformation, process improvement, and change leadership
  • Strategic planning, financial stewardship, and investment prioritization
  • Vendor management, contract oversight, and third-party risk
  • Regulatory compliance and technology governance within a financial institution
  • Executive communication, Board engagement, and complex decision support
  • Talent development, succession planning, and high-performing team leadership
  • Ability to connect technical strategy with organizational goals, member value, and business outcomes
  • Ability to lead through influence, collaboration, sound judgment, and organizational trust
Responsibilities

Success in this role is demonstrated when:

  • Technology strategy is clearly aligned with organizational priorities and long-term growth
  • Enterprise systems and infrastructure are secure, reliable, resilient, and scalable
  • Cybersecurity, business continuity, disaster recovery, and technology risk programs remain strong, current, and examination-ready
  • Strategic technology and transformation initiatives are delivered with measurable business impact
  • Automation and process improvement reduce manual effort, increase capacity, and strengthen operational efficiency
  • Data is accurate, governed, accessible, and increasingly used to support decision-making
  • Artificial intelligence and emerging technologies are adopted responsibly and deliver practical organizational value
  • Employee technology experiences are dependable, effective, and supportive of strong member service
  • Technology investments demonstrate sound financial stewardship and measurable return
  • Vendor relationships are well-governed and consistently meet performance, security, compliance, and service expectations
  • Technology and Innovation team members are engaged, capable, accountable, and prepared for future leadership needs
  • Executive leaders and the Board receive clear, timely, and actionable information regarding technology strategy, performance, risk, and opportunity
Skills

About 4Front Credit Union

At 4Front Credit Union, we are committed to helping our members, team members, and communities thrive. We combine the cooperative philosophy of people helping people with forward-thinking financial solutions, strong community relationships, and a commitment to continuous improvement.

Our success depends on creating meaningful member experiences, empowering our team members, and investing in the technology, people, and capabilities needed to serve our communities well—today and into the future

The Chief Technology & Innovation Officer (CTIO) provides enterprise leadership for the credit union’s technology, cybersecurity, data, digital capability, and innovation strategies. As a member of the Executive Leadership Team, this role ensures technology investments and transformation initiatives are aligned with organizational priorities, strengthen operational performance, protect the credit union, and create meaningful value for members and team members.

The CTIO serves as a strategic advisor to the CEO, Board of Directors, and senior leaders, translating emerging technology, cybersecurity, artificial intelligence, automation, and data opportunities into practical organizational strategies. Through strong governance, executive leadership, and cross-functional partnership, this role builds the secure, scalable, and resilient capabilities necessary to support sustainable growth, organizational agility, and long-term success

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