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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 ...

Lead AI Risk & Governance Establish frameworks to manage AI-specific risks (e.g., model integrity, data leakage, adversarial threats, misuse). Partner with risk and legal to operationalize ...

Lead AI Risk & Governance Establish frameworks to manage AI-specific risks (e.g., model integrity, data leakage, adversarial threats, misuse). Partner with risk and legal to operationalize ...

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.

Conduct and document Privacy Impact Assessments (PIAs), Data Protection Impact Assessments (DPIAs), AI Risk Assessments, and transfer impact analyses (TIAs). * Analyze data lifecycle processes to ...

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 ...

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Showing results 1-20

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 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 July 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
AI Security Engineer Senior Manager

AI Security Engineer Senior Manager

Deloitte

Grand Rapids, MI

$110K - $150K/yr

Other

Posted 9 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

59th of 148 rated financial services


Job description

As a Senior Manager in AI Security Engineering, you will define and lead the firm's approach to securing AI/ML and Generative AI systems at scale. You will operate at the intersection of cybersecurity, engineering, and innovation-ensuring AI capabilities are deployed securely, responsibly, and in alignment with enterprise risk and regulatory expectations to support business agility and growth.

Recruiting for this role ends on 7/23/2026.

Work you'll do

This is a strategic leadership role that will require hands-on technical experience. You will shape the AI security vision, establish governance and controls, and partner across product, engineering, risk, and legal teams to embed security and trust into the AI lifecycle. You will also mentor teams and influence senior stakeholders to enable confident, secure adoption of AI technologies.

Key Responsibilities

Build the AI Security Strategy
Contribute to and drive the evolution of the enterprise AI security vision, roadmap, and operating model aligned to broader cybersecurity and AI priorities.

Embed Security into AI at Scale
Ensure secure-by-design principles across the AI lifecycle, including model development, data pipelines, deployment, and monitoring.

Lead AI Risk & Governance
Establish frameworks to manage AI-specific risks (e.g., model integrity, data leakage, adversarial threats, misuse). Partner with risk and legal to operationalize responsible AI and regulatory compliance.

Architect Secure AI Solutions
Guide secure architecture and engineering practices for AI/ML and GenAI platforms, integrating security into MLOps/LLMOps and DevSecOps pipelines.

Drive Standards and Controls
Define enterprise standards, policies, and controls for AI security, including access, data protection, model validation, and auditability.

Build and Develop Talent
Lead, mentor, and scale a high-performing team of engineers and security specialists. Elevate AI security capabilities across the organization.

Enable Business Outcomes Securely
Balance innovation with risk management-enabling rapid AI adoption while safeguarding enterprise assets, client trust, and brand reputation.

Influence and Align Stakeholders
Engage senior leaders across technology, product, risk, and business functions. Communicate clearly on risks, trade-offs, and investment priorities.

Impact

This role has direct influence on enterprise risk posture, regulatory compliance, and the firm's ability to scale AI responsibly. Decisions made in this role will shape how AI is trusted, governed, and secured across the organization.

The successful candidate would possess these skills

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte Technology US (DT - US) helps power Deloitte's success, which serves many of the world's largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.

The ~3,000 professionals in DT - US deliver services including:

  • Cyber Security
  • Technology Support
  • Technology & Infrastructure
  • Applications
  • Relationship Management
  • Strategy & Communications
  • Project Management
  • Financials

Cyber Security

Cyber Security vigilantly protects Deloitte and client data. The team leads a strategic cyber risk program that adapts to a rapidly changing threat landscape, changes in business strategies, risks, and vulnerabilities. Using situational awareness, threat intelligence, and building a security culture across the organization, the team helps to protect the Deloitte brand.

Areas of focus include:

  • Risk & Compliance
  • Identity & Access Management
  • Data Protection
  • Cyber Design
  • Incident Response
  • Security Architecture
  • Business Partnership

Qualifications

Required:

  • Bachelor's degree or equivalent in Computer Science, Computer Engineering, Business Administration
  • Minimum 10 years of experience across cybersecurity and software engineering, including AI/ML with increasing leadership responsibility
  • Minimum 2 years of people and/or process management experience

Preferred:

  • Proven track record defining and implementing security strategies for emerging technologies, including AI/GenAI
  • Deep understanding of AI/LLM risks (e.g., prompt injection, data exposure, adversarial attacks) and mitigation approaches
  • Experience with cloud-native architecture (AWS, Azure, GCP) and modern engineering practices (DevSecOps, MLOps)
  • Strong knowledge of data protection, identity, and governance frameworks, including responsible AI and regulatory considerations
  • Demonstrated ability to influence senior stakeholders and lead cross-functional initiatives at scale

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $137,400 to $282,100.  

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

EA_ExpHire
RITM10427813

Qualifications:

As a Senior Manager in AI Security Engineering, you will define and lead the firm's approach to securing AI/ML and Generative AI systems at scale. You will operate at the intersection of cybersecurity, engineering, and innovation-ensuring AI capabilities are deployed securely, responsibly, and in alignment with enterprise risk and regulatory expectations to support business agility and growth.

Recruiting for this role ends on 7/23/2026.

Work you'll do

This is a strategic leadership role that will require hands-on technical experience. You will shape the AI security vision, establish governance and controls, and partner across product, engineering, risk, and legal teams to embed security and trust into the AI lifecycle. You will also mentor teams and influence senior stakeholders to enable confident, secure adoption of AI technologies.

Key Responsibilities

Build the AI Security Strategy
Contribute to and drive the evolution of the enterprise AI security vision, roadmap, and operating model aligned to broader cybersecurity and AI priorities.

Embed Security into AI at Scale
Ensure secure-by-design principles across the AI lifecycle, including model development, data pipelines, deployment, and monitoring.

Lead AI Risk & Governance
Establish frameworks to manage AI-specific risks (e.g., model integrity, data leakage, adversarial threats, misuse). Partner with risk and legal to operationalize responsible AI and regulatory compliance.

Architect Secure AI Solutions
Guide secure architecture and engineering practices for AI/ML and GenAI platforms, integrating security into MLOps/LLMOps and DevSecOps pipelines.

Drive Standards and Controls
Define enterprise standards, policies, and controls for AI security, including access, data protection, model validation, and auditability.

Build and Develop Talent
Lead, mentor, and scale a high-performing team of engineers and security specialists. Elevate AI security capabilities across the organization.

Enable Business Outcomes Securely
Balance innovation with risk management-enabling rapid AI adoption while safeguarding enterprise assets, client trust, and brand reputation.

Influence and Align Stakeholders
Engage senior leaders across technology, product, risk, and business functions. Communicate clearly on risks, trade-offs, and investment priorities.

Impact

This role has direct influence on enterprise risk posture, regulatory compliance, and the firm's ability to scale AI responsibly. Decisions made in this role will shape how AI is trusted, governed, and secured across the organization.

The successful candidate would possess these skills

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte Technology US (DT - US) helps power Deloitte's success, which serves many of the world's largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.

The ~3,000 professionals in DT - US deliver services including:

  • Cyber Security
  • Technology Support
  • Technology & Infrastructure
  • Applications
  • Relationship Management
  • Strategy & Communications
  • Project Management
  • Financials

Cyber Security

Cyber Security vigilantly protects Deloitte and client data. The team leads a strategic cyber risk program that adapts to a rapidly changing threat landscape, changes in business strategies, risks, and vulnerabilities. Using situational awareness, threat intelligence, and building a security culture across the organization, the team helps to protect the Deloitte brand.

Areas of focus include:

  • Risk & Compliance
  • Identity & Access Management
  • Data Protection
  • Cyber Design
  • Incident Response
  • Security Architecture
  • Business Partnership

Qualifications

Required:

  • Bachelor's degree or equivalent in Computer Science, Computer Engineering, Business Administration
  • Minimum 10 years of experience across cybersecurity and software engineering, including AI/ML with increasing leadership responsibility
  • Minimum 2 years of people and/or process management experience

Preferred:

  • Proven track record defining and implementing security strategies for emerging technologies, including AI/GenAI
  • Deep understanding of AI/LLM risks (e.g., prompt injection, data exposure, adversarial attacks) and mitigation approaches
  • Experience with cloud-native architecture (AWS, Azure, GCP) and modern engineering practices (DevSecOps, MLOps)
  • Strong knowledge of data protection, identity, and governance frameworks, including responsible AI and regulatory considerations
  • Demonstrated ability to influence senior stakeholders and lead cross-functional initiatives at scale

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $137,400 to $282,100.  

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

EA_ExpHire
RITM10427813

Education:Bachelor's DegreeEmployment Type:

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