ZipRecruiter

Log In

1

Ai Risk Manager Jobs in Buffalo, NY (NOW HIRING)

Anthropic

Insider Risk Investigator

Boston, NY · On-site

Leverage AI tools (Claude, Claude Code) to accelerate investigation workflows and data analysis ... Demonstrated ability to operate independently with minimal oversight while managing sensitive cases ...

M&T Bank

GenAI Program Manager

Buffalo, NY

Drives the establishment of governance, operating models, risk management frameworks, adoption strategies, and execution disciplines necessary to embed Generative AI capabilities across the ...

M&T Bank

GenAI Program Manager

Buffalo, NY · On-site

Drives the establishment of governance, operating models, risk management frameworks, adoption strategies, and execution disciplines necessary to embed Generative AI capabilities across the ...

Moog Inc

AI Program Manager

East Aurora, NY · On-site

$145 - $175/hr

Job Title: AI Program Manager Reporting To: Chief Information Officer Work Schedule: Hybrid ... Run the AEC's portfolio governance rhythm: status reporting, risk/issue tracking, resource ...

Moog, Inc.

AI Program Manager

Buffalo, NY · On-site

$145K - $175K/yr

Job Title : AI Program Manager Reporting To: Chief Information Officer Work Schedule: Hybrid ... Run the AEC's portfolio governance rhythm: status reporting, risk/issue tracking, resource ...

Moog

AI Program Manager

Buffalo, NY

$145K - $175K/yr

Job Title : AI Program Manager Reporting To: Chief Information Officer Work Schedule: Hybrid ... Run the AEC's portfolio governance rhythm: status reporting, risk/issue tracking, resource ...

previous pagenext page

Showing results 21-40

All JobsAi Risk JobsAi Risk Manager JobsAi Risk Manager Jobs in Buffalo, NY

Ai Risk Manager information

See Buffalo, NY salary details

$49.9K

$108.1K

$164.7K

How much do ai risk manager jobs pay per year?

As of Sep 5, 2026, the average yearly pay for ai risk manager in Buffalo, NY is $108,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,200.00 and $125,000.00 per year, depending on experience, location, and employer.

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

AspectAi Risk ManagerData Scientist
Required CredentialsTypically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are commonRequires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentWorks in financial, insurance, or tech industries focusing on AI risk assessment and mitigationWorks across industries analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by organizations managing AI deployment risks, especially in regulated sectorsUsed by companies developing AI solutions, data-driven products, and analytics teams

The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

What are popular job titles related to Ai Risk Manager jobs in Buffalo, NY?

For Ai Risk Manager jobs in Buffalo, NY, the most frequently searched job titles are:

What job categories do people searching Ai Risk Manager jobs in Buffalo, NY look for?

The top searched job categories for Ai Risk Manager jobs in Buffalo, NY are:

What cities near Buffalo, NY are hiring for Ai Risk Manager jobs?

Cities near Buffalo, NY with the most Ai Risk Manager job openings:

Ai Risk Manager jobs near you
Infographic showing various Ai Risk Manager job openings in Buffalo, NY as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $108,060 per year, or $52 per hour.

Insider Risk Investigator

Anthropic

Boston, NY • On-site

Full-time

Re-posted 12 hours ago

Key responsibilities

  • Conduct end-to-end insider risk investigations, including technical analysis and interviews.

  • Triage and analyze technical alerts and external threats targeting employees.

  • Build and maintain investigation documentation and collaborate cross-functionally to develop risk indicators and mitigation strategies.

Job description

About the Role

We are seeking an exceptional Insider Risk Investigator with expertise in both human and technical investigations to support and protect Anthropic's mission. The Insider Risk Team works cross-functionally to deter, identify, investigate and mitigate risks to Anthropic's most critical assets - our people, our data, and our infrastructure.

Responsibilities
  • Triage custom technical detection alerts
  • Independently conduct end-to-end insider risk investigations while working closely with IT, Detection and Response, Legal, HR and other cross-functional teams
  • Monitor and triage external threats targeting employees
  • Conduct sensitive interviews of employees or other involved parties
  • Perform technical analysis of logs from SIEM, DLP, UEBA systems
  • Leverage AI tools (Claude, Claude Code) to accelerate investigation workflows and data analysis
  • Build and maintain investigation documentation
  • Assist in iterating and improving on processes, procedures and systems to detect, mitigate and investigate insider risks
  • Work cross-functionally to develop, refine and operationalize insider risk indicators, scenarios and mitigation strategies
  • Provide rapid-turnaround security assessments to support business operations
  • Support education and awareness programs to promote a robust security culture
  • Serve as the subject matter expert for insider risk and provide training to team members as needed
You may be a good fit if you have
  • Bachelor's degree and/or higher education in a related field
  • 5-8 years of experience in insider risk, corporate investigations or a related domain
  • 3-5 years experience in conducting investigative interviews
  • At least 1-2 years of private sector experience
  • Experience conducting OSINT for threat assessment, or counterintelligence
  • Experience leveraging DLP, UEBA, SIEM, SOAR and other insider risk security tooling for detections and investigations
  • Knowledge of open source research techniques and tooling
  • Broad understanding of internal and external investigations, cybersecurity, interview techniques, risk assessment and managing strong cross-functional relationships
  • Ability to communicate complex security findings clearly and concisely to non-technical stakeholders (written and verbal)
  • Track record of rapid response to time-sensitive security requests
  • Comfort operating across organizational boundaries (Security, People, Legal, IT)
  • Exceptional communication, collaboration skills and the ability to lead projects with little guidance
  • Demonstrated ability to operate independently with minimal oversight while managing sensitive cases
Strong candidates may also have
  • Experience working in the technology industry or at/with AI/ML companies
  • Experience with counterintelligence investigations and nation-state threat actor TTPs
  • Background in open-source intelligence collection and analysis
  • Track record of AI/LLM adoption for productivity gains in investigative work
  • Experience contributing to a high growth startup environment
  • Specialized knowledge of risks unique to the AI sector
  • Experience with data exfiltration investigations across multiple vectors (email, cloud, removable media)
  • Experience working in government, defense, or high-security environments
What makes you successful here
  • Entrepreneurial mindset: You see gaps and fill them without being asked
  • Technical + human balance: Equal comfort analyzing log data and conducting sensitive interviews
  • AI-native approach: You leverage LLMs to work smarter, not just harder
  • Mission alignment: You understand AI safety stakes and insider risk's role in protecting that mission
  • Judgment under uncertainty: You make sound decisions with incomplete information
  • Clear communicator: You distill complex findings into actionable insights for diverse audiences
  • Cross-functional navigator: You build relationships and collaborate effectively across teams
Candidates need not have
  • 100% of the skills needed to perform the job
  • All certifications or educational credentials listed
  • Prior experience working in the AI field

Deadline to apply: None. Applications will be received on a rolling basis.

Apply