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Ai Risk Jobs in Michigan (NOW HIRING)

As a Manager in AI Security Engineering, you will play a critical role in securing the development ... Enable teams to innovate safely through controlled, risk-aware development practices. Cross ...

As a Manager in AI Security Engineering, you will play a critical role in securing the development ... Enable teams to innovate safely through controlled, risk-aware development practices. Cross ...

As a Manager in AI Security Engineering, you will play a critical role in securing the development ... Enable teams to innovate safely through controlled, risk-aware development practices. Cross ...

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 ...

Enterprise Architect (IT)

Detroit, MI · On-site +1

$102K - $208K/yr

Help build AI governance practices for responsible AI adoption, AI governance, and AI Risk controls including intake criteria, risk tiering, review guardrails, control alignment, and ongoing ...

Enterprise Architect (IT)

Detroit, MI · On-site +1

$68.25 - $88/hr

Help build AI governance practices for responsible AI adoption, AI governance, and AI Risk controlsincluding intake criteria, risk tiering, review guardrails, control alignment, and ongoing oversight.

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Ai Risk information

What is the difference between Ai Risk vs Data Scientist?

AspectAi RiskData Scientist
Required CredentialsBackground in AI, risk management, certifications in AI safetyDegree in Computer Science, Statistics, or related fields; certifications in data analysis
Work EnvironmentRisk assessment teams, AI development projects, regulatory settingsData analysis teams, research labs, tech companies
Employer & Industry UsageTech firms, AI safety organizations, regulatory agenciesTech companies, finance, healthcare, research institutions
Common Search & Comparison IntentUnderstanding AI risk roles, career differencesData analysis careers, AI safety roles

Ai Risk professionals focus on identifying and mitigating risks associated with artificial intelligence systems, often working in safety, ethics, and regulatory contexts. Data Scientists analyze large datasets to extract insights, build models, and support decision-making across various industries. While both roles require technical skills, Ai Risk emphasizes safety and ethical considerations, whereas Data Scientists focus on data analysis and modeling.

What are the most commonly searched types of Ai Risk jobs in Michigan?

The most popular types of Ai Risk jobs in Michigan are:

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

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

What job categories do people searching Ai Risk jobs in Michigan look for?

The top searched job categories for Ai Risk jobs in Michigan are:

What cities in Michigan are hiring for Ai Risk jobs?

Cities in Michigan with the most Ai Risk job openings:

Infographic showing various Ai Risk job openings in Michigan as of August 2026, with employment types broken down into 73% Full Time, 21% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Senior AI Solutions Lead (Automotive / Retail)

Netline Technologies, LLC

Auburn Hills, MI • On-site

Other

Posted 23 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.