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Senior Manager Artificial Intelligence Jobs in Rochester, NY

Pwc

CTIO - AI Engineer- Senior Manager

Rochester, NY

$91K - $321K/yr

As a Senior Manager, you will utilize your skills and professional network to deliver quality ... Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration ...

Pwc

Senior Manager, Solution Architect

Rochester, NY · On-site

We bring the latest thinking in Artificial Intelligence to every engagement. We challenge clients ... As a Senior Manager in our Digital Integration & Architecture practice, you'll be an enterprise ...

Stellantis

Technology Manager

Hopewell, NY · On-site

Lead the implementation of artificial intelligence, machine learning, and robotic process ... Experience managing large-scale software projects in corporate environments. * Capacity planning ...

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Senior Manager Artificial Intelligence information

See Rochester, NY salary details

$28.1K

$95.8K

$180.1K

How much do senior manager artificial intelligence jobs pay per year?

As of Sep 1, 2026, the average yearly pay for senior manager artificial intelligence in Rochester, NY is $95,806.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,300.00 and $134,700.00 per year, depending on experience, location, and employer.

What does a senior manager artificial intelligence do?

A Senior Manager of Artificial Intelligence oversees the strategy, development, and deployment of AI-driven solutions within an organization. They lead teams of data scientists, machine learning engineers, and AI specialists to deliver projects that solve business problems using AI technologies. Additionally, they collaborate with other departments to identify opportunities for AI, ensure ethical AI practices, and manage project timelines and budgets. Their role is crucial in aligning AI initiatives with the company’s overall goals and ensuring the successful adoption of AI solutions.

What are the key skills and qualifications needed to thrive as a senior manager artificial intelligence?

To thrive as a Senior Manager Artificial Intelligence, you need a strong background in computer science, AI/ML algorithms, and leadership, often supported by an advanced degree and relevant industry experience. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analytics platforms, and project management tools is typically required, along with certifications in AI or data science. Outstanding communication, strategic thinking, and team leadership abilities help drive innovation and foster cross-functional collaboration. These skills and qualities are essential for successfully leading AI initiatives that align with business objectives and deliver measurable value.

How does a senior manager artificial intelligence typically balance technical leadership with team management responsibilities?

A Senior Manager of Artificial Intelligence often divides their time between providing strategic technical guidance and overseeing the professional development of their team. They are expected to set the vision for AI projects, review technical designs, and ensure alignment with business objectives, while also mentoring team members, managing project timelines, and facilitating collaboration across departments. Balancing these responsibilities requires strong communication skills and the ability to prioritize tasks effectively. Additionally, they frequently interact with stakeholders to translate complex AI concepts into actionable business strategies.

What is the difference between Senior Manager Artificial Intelligence vs Data Scientist?

AspectSenior Manager Artificial IntelligenceData Scientist
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; leadership experienceDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentLeads AI teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports insights
Employer & Industry UsageTech companies, large enterprises implementing AI strategiesVarious industries including finance, healthcare, tech
Search & Comparison IntentUnderstanding leadership roles in AITechnical data analysis and modeling

The Senior Manager Artificial Intelligence typically oversees AI projects, manages teams, and aligns AI strategies with business goals. Data Scientists focus on analyzing data, building models, and deriving insights. While both roles require strong technical skills, the Senior Manager role emphasizes leadership and strategic planning, whereas Data Scientists are more hands-on with data analysis and modeling.

What are popular job titles related to Senior Manager Artificial Intelligence jobs in Rochester, NY?

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The top searched job categories for Senior Manager Artificial Intelligence jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Senior Manager Artificial Intelligence jobs?

Cities near Rochester, NY with the most Senior Manager Artificial Intelligence job openings:

Senior Manager Artificial Intelligence jobs near you

Sr. Associate, Artificial Intelligence

L3HHCM20

Rochester, NY • On-site, Remote

$84K - $156K/yr

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Sr. Associate, Artificial Intelligence 

Job Location: Rochester, NY, Herndon, VA, Melbourne, FL or Remote

Job ID: 43404

Job Description: 

The SMS Artificial Intelligence (AI) team is seeking an individual with strong working knowledge in application development, machine learning, and artificial intelligence to support the research and development of AI solutions that contribute to internal and external product offerings.

Essential Functions: 

  • Work with domain experts to identify which problems can and should be solved with machine learning
  • Clearly translate domain-specific problems into solutions using data-driven models
  • Actively contribute to the improvement of MLOps and data pipelines with the current team
  • Work with multi-domain datasets and phenomenologies to develop effective data plans
  • Perform data curation and exploratory data analysis
  • Ensure proper regression testing, validation, and documentation of ML models
  • Identify relevant pre-trained models and integrate into solution pipelines
  • Identify state-of-the-art (SotA) foundation models and standardize use in larger AI solutions
  • Implement, maintain, and optimize containerization for seamless deployment, scaling of AI / ML workloads, and sharing with other teams for easy reproduction  

Qualifications:

To be eligible, applicants must be pursuing a Master's Degree in Artificial Intelligence, Computer Engineering, Computer Science, Mathematics or have completed their Master's degree within the last 12 months, regardless of age. 

Preferred Additional Skills:

  • Proficiency with Differentiable Programming libraries (e.g., PyTorch, TensorFlow)
  • Proficiency with Database Manipulation libraries (e.g., SQL, NoSQL, Pandas, PySpark)
  • Proficiency with Python and building Virtual Environments (e.g., Conda, UV, Docker)
  • Demonstrable experience developing models using classical and SotA Machine Learning
  • Experience maintaining training and inference infrastructure for ML models

PAY TRANSPARENCY: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 $84,500 - $156,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $73,000 - $136,000. 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, educationassistance, 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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