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Masters In Artificial Intelligence Jobs in Ohio (NOW HIRING)

Booz Allen Hamilton

Computer Vision AI Engineer

Dayton, OH · On-site

$99K - $225K/yr

In this role, you will leverage your expertise in artificial intelligence, data science, and machine learning engineering to train, test, deploy, and maintain models that learn from data. You will ...

Deloitte

AI Solutions Architect

Cleveland, OH · On-site

$61 - $80.50/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Huntington Ingalls Industries

$85K - $130K/yr

Metrics for using artificial intelligence and machine learning * Employing quantitative methods to ... Masters in related field; 0 years experience with PhD in related field; or High School Diploma or ...

Deloitte

AI Solutions Architect

Cincinnati, OH · On-site

$60.50 - $79.75/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Deloitte

AI Solutions Architect

Columbus, OH · On-site

$60.75 - $80.25/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Medpace, Inc.

AI Scientist

Cincinnati, OH · On-site

Job Summary Do you have a passion for Artificial Intelligence (AI) and are looking to make a difference in how the latest clinical trials progress into the market? Do you have a background in data ...

Medpace, Inc.

AI Scientist

Cincinnati, OH · On-site

Job Summary Do you have a passion for Artificial Intelligence (AI) and are looking to make a difference in how the latest clinical trials progress into the market? Do you have a background in data ...

Booz Allen Hamilton, Inc.

$61K - $141K/yr

As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is ...

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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 Ohio? For Masters In Artificial Intelligence jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Masters In Artificial Intelligence jobs in Ohio look for? The top searched job categories for Masters In Artificial Intelligence jobs in Ohio are:
What cities in Ohio are hiring for Masters In Artificial Intelligence jobs? Cities in Ohio with the most Masters In Artificial Intelligence job openings:
Masters In Artificial Intelligence jobs near you
Infographic showing various Masters In Artificial Intelligence job openings in Ohio as of July 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution.
Artificial Intelligence (AI) Enablement Analyst II

Artificial Intelligence (AI) Enablement Analyst II

hillman

Cincinnati, OH

$67K - $85K/yr

Other

Posted 3 days ago

New

Job description

Job Summary

The Artificial Intelligence (AI) Enablement Analyst II facilitates enterprise AI adoption through operational support, business engagement, training development, and requirements gathering activities. The Artificial Intelligence (AI) Enablement Analyst II manages routine AI enablement processes while serving as a trusted resource for employees and stakeholders. Artificial Intelligence (AI) Enablement Analyst II contributes to successful AI implementation and adoption initiatives across the organization.

Essential Job Functions*

  • Manage intake, triage, and fulfillment of AI access and licensing requests.
  • Conduct license utilization reviews and identify optimization opportunities.
  • Design and deliver AI onboarding and adoption training programs.
  • Support employees in the effective use of Microsoft Copilot, Claude, and other approved AI technologies.
  • Gather and document business requirements for AI initiatives and enhancement requests.
  • Conduct stakeholder interviews and process reviews to identify business opportunities.
  • Maintain AI governance documentation, workflows, and operational processes.
  • Generate adoption reports and dashboards for business leaders.
  • Identify trends in support requests and recommend improvements.
  • Coordinate with IT, Security, and functional teams on AI-related activities.
  • Support pilot programs, user testing, and change management efforts.
  • Assist with implementation of new AI capabilities and organizational rollouts.
  • Other duties as assigned.

*This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice.

Employees are expected and encouraged to participate in safety and health program activities including immediately reporting hazards, immediately reporting unsafe work practices and incidents to supervisors, wearing required personal protective equipment, and participating in and supporting safety committee activities.

Education & Experience

  • Bachelor’s degree in Business, Information Systems, Communications, Technology, or a related field required.  Equivalent experience may be considered in lieu of degree.
  • Minimum 3 years of experience in business analysis, technology adoption, training, support operations, or program coordination required.
  • Experience gathering and documenting business requirements for technology, process improvement, or operational initiatives required.
  • Exposure to productivity tools and emerging AI technologies in an academic, professional, or personal setting required.
  • Experience supporting enterprise software rollouts, change management, or digital transformation initiatives preferred.
  • Working knowledge of Microsoft Copilot, Claude, Power Platform, or similar AI technologies preferred.
  • Experience developing reporting, dashboards, or metrics used to measure technology adoption preferred.

Competencies – Knowledge, Skills and Abilities

  • Knowledge of AI-enabled productivity solutions and business applications required to support enterprise adoption.
  • Ability to gather, analyze, and document business requirements in a structured and actionable format.
  • Skill in facilitating training sessions and communicating complex concepts in a user-friendly manner.
  • Ability to manage multiple concurrent projects, requests, and stakeholder expectations.
  • Knowledge of software governance, access management, and license administration practices.
  • Ability to analyze adoption data and identify opportunities to improve utilization and effectiveness.
  • Ability to build collaborative relationships across business and technical functions to achieve implementation objectives.

Operational Equipment

  • N/A

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