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

Technology Transactions Counsel

Rochester, NY · On-site +1

$350K - $410K/hr

Partner with internal teams to translate legal and contractual risk into clear, business-oriented ... AI-enabled contract review, intake, automation, and knowledge management. * Help shape scalable ...

... and AI-enabled ways of working. Working in partnership with Product Managers, Engineering Managers, and Delivery leadership, this role improves delivery predictability, reduces execution risk ...

This role requires balancing automation with human insight-leveraging technology, AI, and real-time ... Demonstrate high judgment in decision-making while maintaining strong risk management and ...

Our Regulatory, Risk, & Forensic Operate offering supports clients by delivering Operate services ... Join our team and use advanced data, AI, and emerging technologies with industry insights to help ...

Showing results 21-40

Ai Risk Manager information

See Rochester, NY salary details

$50.8K

$110.1K

$167.7K

How much do ai risk manager jobs pay per year?

As of Sep 10, 2026, the average yearly pay for ai risk manager in Rochester, NY is $110,069.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $127,300.00 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 Rochester, NY?

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

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

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

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

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

Infographic showing various Ai Risk Manager job openings in Rochester, NY as of August 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $110,069 per year, or $52.9 per hour.

Senior Manager, Software Engineering 1

Rochester, NY

Full-time

Medical, Retirement, PTO

Posted 29 days ago


Job description

Job Title: Senior Manager,  Software Engineering

Job Code: 42050

Job Location: Rochester NY or Lynchburg VA

Job Schedule: 9/80:  Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off

Job Description:

L3Harris Technologies is seeking a Senior Engineering Manager (Level 6). The ideal candidate will manage a team of software engineers providing architecture and development of next-generation radio application software. This role blends advanced embedded systems engineering with cutting-edge AI-driven development practices along with Engineering Manager Duties. Candidate must Influence architectural decisions that balance immediate program needs with future scalability, Champion the adoption of next-generation AI tools across the engineering organization and Serve as a subject matter expert (SME) to executive leadership on complex engineering challenges

Essential Functions:

  • Architecture Oversight: High-level technical judgment to evaluate system reliability, scalability, security, and long-term technical debt.
  • Technical Leadership: Ability to guide engineering best practices, influence technical strategies, and offer constructive feedback on design docs.
  • Risk Management: Experience managing operational risks, and incident response structures for large-scale platforms.
  • Decision-Making: Balance engineering excellence with business speed, knowing when to push for a release versus when to refactor

Qualifications:

  • Bachelor's Degree and a minimum of 12 years of prior relevant experience. Graduate Degree and a minimum of 10 years of prior related experience. In lieu of a degree, minimum of 16 years of prior related experience

Preferred Additional Skills:

  • Architectural Acumen: Ability to evaluate high-level system design, scalable architecture, and technical risk.
  • Modern Engineering Practices: Deep understanding of CI/CD pipelines, DevOps lifecycles, automated testing frameworks, and security best practices.
  • Technical Decision-Making: Capability to broker consensus on major technology choices and settle technical deadlocks between senior individual contributors

In compliance with pay transparency requirements, the salary range for this role in New York and Virginia (outside of Greater D.C. area) is $140,500 to $261,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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