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Ai Jobs in Rochester, NY (NOW HIRING)

CTIO AI Engineering Manager

Rochester, NY · On-site

$73K - $244K/yr

Responsibilities - Work with cross-functional teams to incorporate AI into various applications - Drive initiatives that enhance project outcomes through creative strategies - Identify and utilize ...

The Opportunity As part of the People Tech & AI team you will lead the design, build, and operation of scalable, secure, and intelligent platforms that enable AI-powered employee and client ...

AI Solutions Engineering Delivery Lead

Rochester, NY · On-site

$101K - $133K/yr

The AI Solutions Engineering Delivery Lead will oversee multiple multidisciplinary teams consisting of data scientists, software engineers, front-end developers, and other specialists in the design ...

Showing results 41-60

Ai information

See Rochester, NY salary details

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How much do ai jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for ai in Rochester, NY is $60.59, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $67.36 per hour, depending on experience, location, and employer.

What is an AI?

An AI job involves working with artificial intelligence technologies to develop, implement, and optimize machine learning models, algorithms, and automation systems. Professionals in this field may work as AI engineers, researchers, data scientists, or machine learning specialists. Responsibilities often include data analysis, model training, natural language processing, and computer vision tasks. AI jobs exist in various industries, including healthcare, finance, robotics, and cybersecurity.

What is an entry-level job in AI?

An entry-level job in AI typically involves tasks such as data preprocessing, basic model training, and assisting with AI research under supervision. Common roles include AI intern, junior data scientist, or AI technician, often requiring foundational knowledge of programming languages like Python and understanding of machine learning concepts.

What are the typical career progression paths for professionals working in AI roles?

Career progression in AI typically starts with roles such as AI Researcher, Machine Learning Engineer, or Data Scientist, advancing to senior positions like AI Architect, Principal Data Scientist, or AI Project Lead as you gain expertise and experience. Many professionals also transition into specialized areas, including natural language processing, computer vision, or robotics, or move into management and leadership positions overseeing AI initiatives. Continuous learning and certification in emerging AI technologies help accelerate advancement. The dynamic nature of AI means there are abundant opportunities to shape your career path based on your interests and evolving industry needs.

How do I start a career in AI?

To start a career in AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining experience through online courses, certifications, and projects, as well as staying updated with industry tools like TensorFlow or PyTorch, can help build relevant skills for entry-level roles.

What are the key skills and qualifications needed to thrive in the AI position, and why are they important?

To excel as an AI (Artificial Intelligence) Specialist, a solid background in computer science, mathematics, and machine learning principles, often with a relevant degree or higher, is essential. Experience with programming languages like Python or R, familiarity with machine learning frameworks (such as TensorFlow or PyTorch), and certifications in AI or data science are highly valued. Analytical thinking, creativity, and effective communication help professionals in this role translate complex data into actionable solutions and collaborate with cross-functional teams. Mastering these skills ensures innovative problem-solving and the successful development and deployment of AI solutions in real-world applications.

What are the most commonly searched types of Ai jobs in Rochester, NY? The most popular types of Ai jobs in Rochester, NY are:
What are popular job titles related to Ai jobs in Rochester, NY? For Ai jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Ai jobs in Rochester, NY look for? The top searched job categories for Ai jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Ai jobs? Cities near Rochester, NY with the most Ai job openings:
Infographic showing various Ai job openings in Rochester, NY as of August 2026, with employment types broken down into 74% Full Time, 21% Part Time, and 5% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $126,017 per year, or $60.6 per hour.

Scientist, AI & Cloud Security Architect

L3HHCM20

Rochester, NY

$153K - $284K/yr

Full-time

Medical, Retirement, PTO

Posted 21 days ago


Job description

Job Title: Scientist, AI & Cloud Security Architect

Job Code: 40743

Job Location: (On Site) Melbourne, FL; Salt Lake City, UT; Greenville, TX; Plano, TX; Rockwall, TX; Clifton, NJ; Rochester, NY  

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

Job Description:

The Scientist is responsible for defining and driving the enterprise security strategy, target-state architecture, and governance model for AI, cloud and container platforms across Azure and AWS. Reporting within the CISO organization, this role focuses on secure-by-design architecture, enterprise guardrails, risk-informed adoption patterns, and security integration for modern platforms.

This leader partners closely with Security Architecture, Enterprise Architecture, Infrastructure and Data/AI teams to establish secure, scalable, and reusable platform patterns that enable rapid, compliant adoption of AI and cloud capabilities across the enterprise. The role serves as a strategic bridge between cybersecurity, enterprise technology, and engineering organizations to ensure AI, cloud, and container platform innovation is enabled with strong security, resilience, and governance foundations.

Essential Functions:

AI Security Strategy, Governance & Architecture:

  • Develop enterprise AI security and governance frameworks covering model lifecycle, data boundaries, and risk controls.
  • Create AI reference architectures ensuring secure, compliant integration of generative and cloud-native AI capabilities.
  • Advise leadership on emerging AI technologies, associated risks, and secure platform adoption strategies.

Cloud Security Strategy & Architecture:

  • Define multi-cloud security strategy, reference architectures, and enterprise guardrails for Azure, AWS, and hybrid environments.
  • Standardize observability, networking, and compliance architectures across cloud platforms.
  • Lead design reviews and maintain cloud architectural patterns enabling secure-by-design adoption.
  • Partner with software engineering teams to embed security guardrails into their active implementations.

Container Platform Security

  • Define security architecture, controls, and governance for Kubernetes, container orchestration, and runtime environments.
  • Establish secure build, registry, and deployment patterns for containers across cloud and onprem platforms.
  • Integrate container security posture, registry/image scanning, host OS scanning, and workload protection into enterprise standards.

Collaboration

  • Work closely with stakeholders inside of IT and within other business functions to enforce the organizational security strategy.
  • Translate complex technical issues into clear, actionable insights for stakeholders.
  • Contribute to security standards, architectural guidance and policy improvements.

Qualifications:

  • Bachelor's Degree and minimum 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 Skills: 

  • Familiarity with hybrid cloud connectivity patterns, network segmentation, and secure landing zones.
  • Strong communication and executivelevel advisory capabilities.
  • Thought leadership in AI transformation, cloud modernization, container platform initiatives.
  • Experience contributing or leading security, architecture or governance boards.
  • Knowledge of Zero Trust frameworks and enterprisegrade security architectures.
  • Ability to synthesize complex technical topics into actionable strategies for diverse stakeholders.

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $153,000-$284,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $133,000-$247,000. 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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