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Masters In Artificial Intelligence Jobs in Rhode Island

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Masters In Artificial Intelligence information

Which 3 jobs will survive AI?

For a Masters in Artificial Intelligence, roles such as AI research scientist, machine learning engineer, and data scientist are likely to persist as they require advanced expertise, creativity, and problem-solving skills that are difficult for AI to fully replicate. These jobs involve designing, developing, and interpreting complex algorithms and models, often requiring domain-specific knowledge and critical thinking. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience in these fields.

What are the key skills and qualifications needed to thrive with a Master's in Artificial Intelligence, and why are they important?

To thrive with a Master's in Artificial Intelligence, you need a solid background in mathematics, programming (often Python), and machine learning principles, supported by an advanced degree in AI or a related field. Familiarity with tools such as TensorFlow, PyTorch, and cloud computing platforms, as well as knowledge of data analysis and visualization systems, is typically required. Strong problem-solving abilities, creativity, and effective communication skills help you design solutions and present technical concepts to diverse audiences. These competencies are crucial for developing innovative AI systems, collaborating across teams, and driving impactful technology projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms. Compensation at this level reflects significant expertise and responsibility in developing and deploying AI solutions.

How does earning a Master's in Artificial Intelligence impact opportunities for interdisciplinary collaboration in professional settings?

A Master's in Artificial Intelligence uniquely positions professionals to collaborate across diverse teams, including data scientists, software engineers, and domain experts in areas like healthcare, finance, or manufacturing. Graduates often find themselves bridging gaps between technical and non-technical stakeholders, translating complex AI concepts into actionable business solutions. This interdisciplinary environment enhances problem-solving skills and offers exposure to a wide range of real-world challenges, fostering both personal and career growth. Such collaboration is highly valued by employers, as it drives innovative solutions and helps integrate AI technologies into various industries.

Is a master's degree in AI worth it?

A master's degree in artificial intelligence can enhance job prospects for AI roles by providing advanced knowledge in machine learning, data analysis, and programming skills. It often leads to higher salaries and more specialized positions, but practical experience and skills in tools like Python and TensorFlow are also highly valued in the industry.

What is a Masters in Artificial Intelligence?

A Masters in Artificial Intelligence is a graduate-level degree program that focuses on teaching students advanced concepts and techniques in AI, including machine learning, deep learning, natural language processing, robotics, and data science. The program is designed to equip students with both theoretical knowledge and practical skills needed to develop intelligent systems and solve real-world problems using AI technologies. Graduates are prepared for careers in industries such as technology, healthcare, finance, and academia, or for pursuing further research in the field.

What is the average salary with an AI master's?

A master's in artificial intelligence typically leads to roles such as AI engineer or data scientist, with average salaries ranging from $90,000 to $130,000 annually in many regions. Salaries depend on experience, location, and specific skills like machine learning or programming languages such as Python.
What are popular job titles related to Masters In Artificial Intelligence jobs in Rhode Island? For Masters In Artificial Intelligence jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Masters In Artificial Intelligence jobs in Rhode Island look for? The top searched job categories for Masters In Artificial Intelligence jobs in Rhode Island are:
Infographic showing various Masters In Artificial Intelligence job openings in Rhode Island as of July 2026, with employment types broken down into 73% Full Time, and 27% Part Time. Highlights an 100% In-person job distribution.

Professional in Residence for Applied Artificial Intelligence

The Trustees of Bryant University

Smithfield, RI • On-site

Full-time, Part-time

Re-posted 19 days ago


Job description

Posting Details
Position Information
Job Title
Professional in Residence for Applied Artificial Intelligence
Full Time / Part Time
Full Time
Job Type
Faculty
Reports To
Dean, College of Business
Position Summary
Bryant University seeks to fill three (3) full-time, Professional-in-Residence positions in Applied Artificial Intelligence. These positions are part of a strategic cluster hire to continue the expansion of our Applied AI curriculum, as well as the build-out of the Center for Applied AI. The successful candidate will demonstrate a strong commitment to teaching excellence and will play a central role in delivering undergraduate instruction in artificial intelligence.
Should you wish to discuss this opening or request more information please contact Dr. Todd Alesandri, Dean of the College of Business. Bryant's comprehensive and intentional approach to integration of AI can be found at https://www.bryant.edu/discover-bryant/ai-bryant.
Bryant is recognized as a top 1 percent national leader in student education outcomes and ROI and regularly receives high rankings from U.S. News and World Report, QS Stars, Money, Bloomberg Businessweek, Wall Street Journal, and College Factual. Bryant's strategic plan, Vision 2030, redefines higher education through a commitment to providing students with a transformational learning experience. Vision 2030 accelerates advancements in academic innovation, experiential learning, vibrant student life, Division I athletics, and a connected community that fosters belonging and success.
Principal Accountabilities
The standard teaching load for this position is 6 courses per year, accompanied with additional responsibilities related to the Center for Applied AI. Primary teaching responsibilities will include introductory and applied AI courses, but may also include selected upper-level electives in Artificial Intelligence, Generative AI, and emerging AI applications as program needs evolve. The position is intended for individuals with professional experience and a strong applied orientation-someone who can translate AI concepts into accessible, hands-on learning experiences for primarily undergraduate students across business and related disciplines.
Qualifications
Required Qualifications:
  • Master's degree or higher in Artificial Intelligence, Data Science, Information Systems, Computer Science, Analytics, or a closely related field.
  • Ability to design and teach hands-on AI and data analytics projects.
  • Demonstrated experience in applying AI in at least one of several domains, such as accounting, finance, marketing, healthcare, insurance or media.
  • Strong communication skills and the ability to explain technical concepts to non-technical audiences.
  • Knowledge of responsible AI practices, including ethical considerations in AI deployment.

Preferred Qualifications:
  • Prior college-level teaching experience would be beneficial but not necessary.
  • Professional or applied experience working with AI Application Development, AI tools, AI platforms, or AI-enabled workflows.
  • Familiarity with generative AI technologies, prompt engineering, and AI applications in business or organizational settings.

Bryant University provides an inclusive and welcoming educational and working environments for all members of its community. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual preference or orientation, gender identity or expression, national origin, age, ethnicity, disability, genetic information, protected veteran, or marital status.
Working Environment
Bryant University is a 163-year-old private institution that is accredited by AACSB-International and the New England Commission of Higher Education (NECHE). Bryant is a student-centered institution, dedicated to educating and inspiring students to discover their passion, become innovative leaders with character, and make a difference around the world. Our innovative academic programs are attuned to the needs of industry and society with a strong commitment to experiential learning. We have approximately 3,200 undergraduate students from 38 states and 42 countries. We also have approximately 400 full- and part-time graduate students.
At Bryant University, we believe that our strength lies in the richness of our campus community and the unique perspectives that shape it. By connecting academic and social experiences, we create an environment where individuals feel valued, respected, and supported. Our commitment to fostering belonging and well-being ensures that everyone has the opportunity to thrive and contribute meaningfully. We encourage applications from those who appreciate the wide range of experiences and backgrounds that make our community exceptional. Discover more about how we cultivate a welcoming and collaborative campus culture that drives excellence.
Physical Capacities
Posting Detail Information
Posting Number
FAC01633
Open Date
03/17/2026
Close Date
Open Until Filled
No
Applicant Special Instructions
To receive full consideration, interested individuals must apply electronically. To receive full consideration, applicants should submit:
  • A letter of application describing interest in the position and relevant experience
  • A current curriculum vitae
  • If the applicant has teaching experience in higher education or professional environments, teaching evaluations, syllabi, and related materials.

Review of applications will begin immediately and will continue until the position is filled.