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Ai Risk Analyst Jobs in New Baltimore, MI (NOW HIRING)

Compu-Vision - IT

AI Specialist - 26-10487

Troy, MI · On-site

Support responsible AI adoption, including privacy, security, governance, and risk-management ... Strong analytical and problem-solving skills. Preferred Qualifications * Public-sector or ...

Deloitte

Financial Risk Manager

Detroit, MI · On-site

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Successful candidates will demonstrate an aptitude for complex problem-solving and analytical ...

Zobility

Project Manager - AI/ML & Robotics

Troy, MI · On-site

... risk analysis, and investment proposals. • Assume responsibility of project's interests in North America and the alignment with the rest of the world (EU and China). This includes resource planning ...

OpTech

AI Specialist

Pontiac, MI · On-site

AI Governance & Risk Management * Maintain and enhance the organization''s AI governance framework ... Analyze AI platform utilization and recommend cost optimization strategies. Adoption, Training ...

Deloitte

Financial Risk Senior Consultant

Detroit, MI

$115K/yr

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Strong analytical, critical thinking, and organizational skills * Enthusiasm for developing ...

micro1 AI

Pharmacovigilance Expert

Warren, MI · Remote

$70 - $80/hr

... development of AI-driven tools for pharmacovigilance documentation and analysis. Preferred ... risk assessment methodology. * Hands-on experience with MedDRA coding, seriousness and causality ...

micro1 AI

Clinical Pharmacy Technicians

Warren, MI · Remote

$70 - $80/hr

... development of AI-driven tools for pharmacovigilance documentation and analysis. Preferred ... risk assessment methodology. * Hands-on experience with MedDRA coding, seriousness and causality ...

micro1 AI

Pharmacovigilance Expert

Detroit, MI · Remote

$70 - $80/hr

... development of AI-driven tools for pharmacovigilance documentation and analysis. Preferred ... risk assessment methodology. * Hands-on experience with MedDRA coding, seriousness and causality ...

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All JobsAi Risk Analyst JobsAi Risk Analyst Jobs in New Baltimore, MI

Ai Risk Analyst information

See New Baltimore, MI salary details

$13

$36

$59

How much do ai risk analyst jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for ai risk analyst in New Baltimore, MI is $36.78, according to ZipRecruiter salary data. Most workers in this role earn between $27.07 and $44.76 per hour, depending on experience, location, and employer.

What is an AI risk analyst?

AI Risk Analysts are professionals who assess, monitor, and manage the risks associated with the development and deployment of artificial intelligence systems. Their work involves identifying potential threats such as bias, security vulnerabilities, ethical concerns, and compliance issues that could arise from using AI technologies. They collaborate with data scientists, engineers, and compliance teams to develop risk mitigation strategies and ensure that AI systems operate safely, ethically, and in accordance with relevant regulations.

What skills and qualifications are needed to be an AI risk analyst?

To thrive as an AI Risk Analyst, you need a strong foundation in data analysis, risk assessment, and an understanding of AI/ML technologies, typically supported by a degree in computer science, statistics, or a related field. Familiarity with risk management frameworks, AI auditing tools, and certifications such as CRISC or AI ethics credentials is often required. Excellent problem-solving, critical thinking, and communication skills help in identifying risks and conveying complex findings to stakeholders. These skills are crucial to ensure responsible AI deployment, mitigate potential risks, and maintain regulatory compliance.

How does an AI risk analyst collaborate with cross-functional teams to assess and mitigate risks?

AI Risk Analysts work closely with data scientists, engineers, compliance officers, and business leaders to identify, evaluate, and mitigate risks associated with AI systems. They facilitate risk assessment workshops, gather input from technical and non-technical stakeholders, and ensure that risk controls are integrated into AI development processes. Effective communication and documentation are crucial, as analysts must translate complex technical risks into actionable recommendations for diverse teams. This collaborative approach helps ensure that AI solutions are both innovative and aligned with regulatory and ethical standards.

What is the difference between Ai Risk Analyst vs Data Scientist?

AspectAi Risk AnalystData Scientist
Required CredentialsBachelor's in Risk Management, Data Science, or related fields; certifications in AI or risk analysisBachelor's or Master's in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentFinancial institutions, insurance companies, or tech firms focusing on risk assessmentTech companies, research labs, or any industry leveraging data for insights
Employer & Industry UsagePrimarily in finance, insurance, and risk-focused sectorsAcross various industries including tech, healthcare, finance, and marketing

The main difference is that an Ai Risk Analyst specializes in assessing and managing risks related to AI systems, often within financial or risk-focused industries. In contrast, a Data Scientist analyzes large datasets to extract insights across diverse sectors. While both roles require strong analytical skills and knowledge of AI and data tools, the Ai Risk Analyst focuses more on risk mitigation specific to AI applications.

How much do AI risk analysts make?

AI risk analysts typically earn between $70,000 and $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI safety and risk management can earn higher salaries, often exceeding $150,000. The role often requires knowledge of AI systems, risk assessment, and relevant certifications.

How to become an AI risk analyst?

To become an AI risk analyst, candidates typically need a strong background in computer science, data analysis, or related fields, along with knowledge of AI systems and risk management principles. Relevant skills include programming, statistical analysis, and understanding of AI safety and ethics, often supported by certifications or advanced degrees. Experience with AI tools and risk assessment frameworks is also valuable.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including safety, ethical concerns, and unintended consequences. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks to ensure AI deployment aligns with safety standards and regulations.

Will AI take over AI Risk Analyst jobs?

AI Risk Analysts evaluate and manage risks associated with artificial intelligence systems, a role that requires specialized knowledge of AI technologies, ethics, and safety protocols. While AI tools can assist in data analysis and risk assessment, human expertise remains essential for interpreting complex issues and making strategic decisions, so the job is unlikely to be fully automated in the near term.

What cities near New Baltimore, MI are hiring for Ai Risk Analyst jobs?

Cities near New Baltimore, MI with the most Ai Risk Analyst job openings:

Ai Risk Analyst jobs near you

Senior AI Solutions Lead (Automotive / Retail)

Auburn Hills, MI • On-site

Netline Technologies, LLC
See more jobs at Netline Technologies, LLCexternal

Other

Posted 10 days ago

Job description

Seeking a results-oriented Senior AI Solutions Lead to bridge business operations, data, and technology by identifying AI opportunities, building hands-on POCs/MVPs, and driving AI adoption in the Automotive, Retail, or Supply Chain sectors. You will turn business challenges into measurable AI solutions while ensuring compliance with enterprise AI governance.

Key Responsibilities

·       Strategy & Transformation: Identify, prioritize, and translate business challenges into practical AI/GenAI use cases across Automotive, Supply Chain, and Customer Experience.

·       Solution Development: Hands-on design, testing, and deployment of AI/GenAI POCs, pilots, and MVPs. Partner with IT to scale successful projects to production.

·       Data & Analytics: Query and analyze enterprise structured/unstructured data; define KPIs and value realization metrics.

·       Governance & Compliance: Ensure all AI initiatives follow AI Risk Assessment processes, Steering Committee guidance, and responsible AI practices.

Key Qualifications

·       Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (Master’s/MBA preferred).

·       Experience:

o   10 years in Data Analytics, Digital Transformation, AI, or ML.

o   2–3 years of hands-on experience delivering AI/GenAI use cases with measurable ROI.

o   Domain expertise in Automotive, Retail, Aftermarket, or Supply Chain.

·       Technical Skills: Python, SQL, Prompt Engineering, ML, Generative AI, Databricks, Snowflake, Cloud platforms, ETL pipelines, and APIs.

·       Mandatory Certifications: Must hold at least one recognized AI certification (e.g., Azure AI Engineer, AWS ML Specialty, Google Cloud Platform ML Engineer, Databricks ML, etc.).

Preferred Attributes

·       Strong storyteller capable of presenting AI business cases to executive leadership.

·       Hands-on experience with recommendation engines, chatbots/agents, demand forecasting, or tools like Azure OpenAI and Microsoft Copilot.

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