ZipRecruiter

Log In

1

Ai Risk Jobs in Clarkston, 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 practices. * Develop documentation, guidelines, standards, and communication materials related to ...

Deloitte

AI Security Engineer Manager

Detroit, MI

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 ...

Huntington

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.

Deloitte

Financial Risk Manager

Detroit, MI · On-site

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Credit Risk, Liquidity Risk, Market Risk, Capital Management/Stress Testing * Knowledge of ...

OpTech

AI Specialist

Pontiac, MI · On-site

AI Governance & Risk Management * Maintain and enhance the organization''s AI governance framework. * Collaborate with cybersecurity, privacy, legal, and business stakeholders to support responsible ...

next page

Showing results 1-20

All JobsAi Risk JobsAi Risk Jobs in Clarkston, MI

Ai Risk information

See Clarkston, MI salary details

$14

$31

$75

How much do ai risk jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for ai risk in Clarkston, MI is $31.01, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $39.57 per hour, depending on experience, location, and employer.

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 cities near Clarkston, MI are hiring for Ai Risk jobs?

Cities near Clarkston, MI with the most Ai Risk job openings:

Ai Risk jobs near you
Infographic showing various Ai Risk job openings in Clarkston, MI as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $64,498 per year, or $31 per hour.

AI Specialist - 26-10487

Detroit, MI • On-site

Compu-Vision - IT
See more jobs at Compu-Vision - ITexternal

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

AI Specialist

Location: Pontiac, MI
Duration: 6 Months
Experience Level: Senior
Environment: Microsoft Copilot, ChatGPT, Claude, Office 365

Position Overview

We are seeking a Senior AI Specialist to support enterprise AI adoption, coordinate AI pilot initiatives, strengthen AI governance, and promote responsible use of artificial intelligence across organizational departments.

This role combines strategic oversight with hands-on program support, including AI pilot coordination, governance, vendor management, user enablement, training, adoption tracking, and executive reporting.

Key Responsibilities
  • Coordinate AI pilot initiatives, establish success criteria, and track outcomes.
  • Develop, maintain, and mature an enterprise AI governance framework in collaboration with cybersecurity, privacy, legal, and other stakeholders.
  • Maintain an enterprise inventory of AI tools, vendors, pilots, and use cases.
  • Manage access, licensing, usage, token consumption, and costs associated with enterprise AI platforms.
  • Coordinate AI vendors, demonstrations, deliverables, technical issues, and resolution activities.
  • Lead AI Communities of Practice and departmental AI champion programs.
  • Coordinate onboarding, training, guidance, and ongoing support for AI users.
  • Work with departments to identify high-value AI opportunities and promote successful use cases.
  • Track AI adoption, costs, business value, productivity improvements, and measurable efficiency gains.
  • Develop executive dashboards and provide regular updates to leadership.
  • Support responsible AI adoption, including privacy, security, governance, and risk-management practices.
  • Develop documentation, guidelines, standards, and communication materials related to enterprise AI usage.
  • Facilitate workshops, knowledge-sharing sessions, and AI enablement activities.
  • Monitor emerging AI capabilities and assess their potential enterprise applications.
Required Qualifications
  • Bachelor's degree or equivalent professional experience.
  • 5+ years of experience managing technology initiatives, enterprise software projects, or technology programs.
  • Hands-on experience with generative AI platforms such as ChatGPT, Microsoft Copilot, Claude, or comparable solutions.
  • Understanding of AI governance, privacy, cybersecurity, responsible AI, and enterprise technology risk.
  • Strong project management and organizational skills.
  • Excellent communication, presentation, facilitation, and stakeholder-management abilities.
  • Experience coordinating multiple initiatives, vendors, and stakeholders simultaneously.
  • Strong analytical and problem-solving skills.
Preferred Qualifications
  • Public-sector or government experience.
  • Experience developing or implementing AI governance frameworks.
  • Experience managing enterprise AI licensing, usage, and vendor relationships.
  • Change management experience.
  • Experience developing AI training programs and facilitating user communities.
  • Agile and/or PMP certification.
  • Experience developing executive dashboards and measuring technology adoption and business value.
Preferred Skills
  • AI Governance
  • Generative AI
  • ChatGPT
  • Microsoft Copilot
  • Claude
  • AI Risk Management
  • Responsible AI
  • Privacy & Cybersecurity
  • Enterprise AI Adoption
  • AI Licensing & Cost Management
  • Vendor Management
  • Change Management
  • Training & Facilitation
  • Project Management
  • Agile Methodologies
  • Executive Reporting
  • Stakeholder Management
  • Microsoft Office 365