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Artificial Intelligence Machine Learning Engineer Jobs in Rochester, NY

ERP AI Engineer - Manager

Rochester, NY · On-site

$99K - $232K/yr

... Machine Learning. Enhancing your leadership style, you motivate, develop and inspire others to ... Artificial Intelligence, Data Science, Software Engineering, or related field preferred ...

We modernize their supply chains using artificial intelligence, machine learning and connected products resulting in a competitive asset for the entire organization. Qualifications * 10+ years of ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

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Artificial Intelligence Machine Learning Engineer information

See Rochester, NY salary details

$31.3K

$127.8K

$192.1K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for artificial intelligence machine learning engineer in Rochester, NY is $127,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $153,900.00 per year, depending on experience, location, and employer.

What is an Artificial Intelligence Machine Learning Engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by Artificial Intelligence Machine Learning Engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI or machine learning engineers, research directors, or executive positions in artificial intelligence. These roles often require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and a strong track record of innovation. Compensation at this level reflects extensive expertise, strategic impact, and often involves stock options or bonuses in addition to base salary.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What engineers make $500,000?

Artificial Intelligence and Machine Learning Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and work in high-demand industries like tech or finance. Compensation often includes base salary, bonuses, and stock options, particularly at senior levels or in leadership roles.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Machine Learning Engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

Is AI ML engineer in demand?

AI and ML engineers are in high demand across various industries due to the increasing adoption of artificial intelligence technologies. Companies seek professionals skilled in programming languages like Python, machine learning frameworks, and data analysis to develop and implement AI solutions, leading to strong job growth and competitive salaries in this field.

How much do AI ML engineers make?

AI ML engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, natural language processing, or cloud platforms can command higher salaries, often exceeding $200,000.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Rochester, NY? For Artificial Intelligence Machine Learning Engineer jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Rochester, NY look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities near Rochester, NY with the most Artificial Intelligence Machine Learning Engineer job openings:
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Rochester, NY as of June 2026, with employment types broken down into 87% Full Time, 9% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $127,831 per year, or $61.5 per hour.
Manager, Strategy, Growth, and Transformation

Manager, Strategy, Growth, and Transformation

Deloitte

Rochester, NY • On-site

Other

Posted 12 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

55th of 139 rated financial services


Job description

Operate at the center of Deloitte's Talent Architecture & Skills Governance-where enterprise decisions are shaped for delivery at scale. In this role, you will lead and support decision-making governance, guide stakeholders, and ensure the frameworks evolve with the market through precision, consistency, and data intelligence. You'll work within a high-visibility, cross-functional team, gaining deep exposure to firmwide strategy while influencing how talent, skills, and workforce decisions are made and sustained.

Recruiting for this role ends on June 26, 2026

Work you'll do

In this cross-business/ES enterprise role you will operationalize the Talent Architecture & Skills Governance strategy and vision by leading the governance intake, evaluation, and execution of framework revisions and market sensing insights. As a Talent Manager, Strategy, Growth and Transformation on the Talent Architecture & Skills Governance team, you will be responsible for:

  • Partner with the Talent Architecture & Skills Governance Leader to execute the vision and strategy for talent architecture and skills governance, driving business-as-usual activities and medium-impact changes aligned with established governance and design principles.
  • Lead stakeholders through the governance process, facilitate working sessions and decision forums, and document decisions and rationale to support timely, well-informed outcomes.
  • Manage day-to-day operations and cross-functional coordination across business, Enterprise Solutions, and Data Management teams to implement changes on time, effectively, and in compliance with established standards.
  • Oversee the intake, evaluation, and tracking of revision proposals, assess downstream impacts, identify risks and roadblocks, and recommend solutions that balance framework integrity with business needs.
  • Develop business cases, change options, and executive-ready materials for job architecture changes, including the use of AI-assisted solutions, while driving process improvements that enhance transparency, efficiency, and team effectiveness.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to mentor and provide clear guidance to others

The team

The Talent Architecture and Skills Governance team is the enterprise connective tissue that governs talent architecture and skills frameworks -aligning Businesses/Enterprise Solutions, Finance, Technology, Data Governance, and AI/Analytics to enable decision clarity at scale. Our goal is to ensure that the talent architecture and skills frameworks are effective, foundational strategic data assets, that allow leaders to make fast, fair, and consistent talent decisions. We govern these frameworks as an enterprise decision infrastructure-ensuring trusted, consistent, market-relevant decisions and data that aligns with firm strategy, work, skills, cost, and talent experience with an eye toward the market and future innovation.

Qualifications

Required:

  • Bachelor's degree or equivalent
  • 6+ years of experience in talent strategy, job architecture, compensation design, business strategy, business intelligence, or organizational transformation
  • Experience developing business cases, governance recommendations, or executive-level materials for senior management
  • Experience defining, documenting, and facilitating governance or data maintenance processes that include risk review steps
  • Experience working with large data sets or supporting data strategy development
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Strong critical thinking, analysis, and problem-solving skills 
  • Experience with Artificial intelligence/machine learning driven human resources solutions
  • Knowledge of Human resources data taxonomy and ontology processes and tools
  • Experience with data mapping, standardization, hierarchies, reporting, and integrations
  • Familiarity with data privacy regulations, including General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA), to human resources data
  • Experience working in large, complex organizations or consulting environments managing transformations

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 $102500 to $188900.

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.

Qualifications:

Operate at the center of Deloitte's Talent Architecture & Skills Governance-where enterprise decisions are shaped for delivery at scale. In this role, you will lead and support decision-making governance, guide stakeholders, and ensure the frameworks evolve with the market through precision, consistency, and data intelligence. You'll work within a high-visibility, cross-functional team, gaining deep exposure to firmwide strategy while influencing how talent, skills, and workforce decisions are made and sustained.

Recruiting for this role ends on June 26, 2026

Work you'll do

In this cross-business/ES enterprise role you will operationalize the Talent Architecture & Skills Governance strategy and vision by leading the governance intake, evaluation, and execution of framework revisions and market sensing insights. As a Talent Manager, Strategy, Growth and Transformation on the Talent Architecture & Skills Governance team, you will be responsible for:

  • Partner with the Talent Architecture & Skills Governance Leader to execute the vision and strategy for talent architecture and skills governance, driving business-as-usual activities and medium-impact changes aligned with established governance and design principles.
  • Lead stakeholders through the governance process, facilitate working sessions and decision forums, and document decisions and rationale to support timely, well-informed outcomes.
  • Manage day-to-day operations and cross-functional coordination across business, Enterprise Solutions, and Data Management teams to implement changes on time, effectively, and in compliance with established standards.
  • Oversee the intake, evaluation, and tracking of revision proposals, assess downstream impacts, identify risks and roadblocks, and recommend solutions that balance framework integrity with business needs.
  • Develop business cases, change options, and executive-ready materials for job architecture changes, including the use of AI-assisted solutions, while driving process improvements that enhance transparency, efficiency, and team effectiveness.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to mentor and provide clear guidance to others

The team

The Talent Architecture and Skills Governance team is the enterprise connective tissue that governs talent architecture and skills frameworks -aligning Businesses/Enterprise Solutions, Finance, Technology, Data Governance, and AI/Analytics to enable decision clarity at scale. Our goal is to ensure that the talent architecture and skills frameworks are effective, foundational strategic data assets, that allow leaders to make fast, fair, and consistent talent decisions. We govern these frameworks as an enterprise decision infrastructure-ensuring trusted, consistent, market-relevant decisions and data that aligns with firm strategy, work, skills, cost, and talent experience with an eye toward the market and future innovation.

Qualifications

Required:

  • Bachelor's degree or equivalent
  • 6+ years of experience in talent strategy, job architecture, compensation design, business strategy, business intelligence, or organizational transformation
  • Experience developing business cases, governance recommendations, or executive-level materials for senior management
  • Experience defining, documenting, and facilitating governance or data maintenance processes that include risk review steps
  • Experience working with large data sets or supporting data strategy development
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Strong critical thinking, analysis, and problem-solving skills 
  • Experience with Artificial intelligence/machine learning driven human resources solutions
  • Knowledge of Human resources data taxonomy and ontology processes and tools
  • Experience with data mapping, standardization, hierarchies, reporting, and integrations
  • Familiarity with data privacy regulations, including General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA), to human resources data
  • Experience working in large, complex organizations or consulting environments managing transformations

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 $102500 to $188900.

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.

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