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Generative Ai Analyst Jobs in Baltimore, MD (NOW HIRING)

Morgan Stanley

VP, AI Compliance Officer

Baltimore, MD

$108K - $185K/yr

... analytics, data, artificial intelligence, generative AI, and platforms activities within Wealth Management. Since 1935, Morgan Stanley is known as a global leader in financial services, always ...

Morgan Stanley

VP, AI Compliance Officer

Baltimore, MD · On-site

$108K - $185K/yr

... analytics, data, artificial intelligence, generative AI, and platforms activities within Wealth Management. Since 1935, Morgan Stanley is known as a global leader in financial services, always ...

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All JobsGenerative Ai Analyst JobsGenerative Ai Analyst Jobs in Baltimore, MD

Generative Ai Analyst information

See Baltimore, MD salary details

$48.7K

$88K

$122.7K

How much do generative ai analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for generative ai analyst in Baltimore, MD is $88,001.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,600.00 and $98,900.00 per year, depending on experience, location, and employer.

What is a generative AI analyst?

A Generative AI Analyst is a professional who specializes in analyzing, designing, and optimizing systems that use generative artificial intelligence models, such as large language models or image generators. Their work involves understanding how these AI models are developed, deployed, and utilized across various applications. They assess data quality, monitor model outputs, evaluate performance, and help improve the effectiveness and ethical use of generative AI technologies. Generative AI Analysts may also provide insights to organizations on best practices, risk management, and innovation opportunities related to AI. Their expertise bridges the gap between data science, AI development, and business strategy.

What are the key skills and qualifications needed to thrive as a generative AI analyst?

To thrive as a Generative AI Analyst, you need a solid background in data science, machine learning, and statistics, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, and experience with large language models or generative adversarial networks (GANs) is typically required. Strong analytical thinking, creativity, and effective communication skills help you interpret complex data and present insights to stakeholders. These skills and qualities are crucial for developing innovative AI solutions, solving business challenges, and driving impactful results.

How does a generative AI analyst typically collaborate with data scientists and engineering teams?

A Generative AI Analyst frequently works alongside data scientists and engineering teams to interpret model outputs, assess data quality, and help translate business objectives into technical requirements. Collaboration usually involves regular meetings to review model performance, troubleshoot issues, and refine algorithms based on real-world feedback. Effective communication and a shared understanding of both AI concepts and business goals are essential, as the analyst often serves as a bridge between technical teams and stakeholders. This collaborative environment fosters continuous learning and innovation, making teamwork a core aspect of the role.

What is the difference between Generative Ai Analyst vs Data Scientist?

AspectGenerative Ai AnalystData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; certifications in AI/MLBachelor's/Master's in CS, Statistics, or related fields; advanced certifications
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Employer & Industry UsageFocus on developing and refining generative AI modelsAnalyze data, build predictive models, derive insights
Common Search & Comparison IntentUnderstanding roles in AI developmentData analysis and modeling skills

While both roles require strong technical skills and knowledge of AI and data analysis, a Generative Ai Analyst specializes in creating and optimizing generative AI models, whereas a Data Scientist focuses on analyzing data to inform business decisions. The roles often overlap but differ in their primary focus and application within organizations.

How much do generative AI analysts make?

Generative AI analysts typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can command higher salaries, often exceeding $150,000.

Is Generative AI a promising career?

Generative AI is a rapidly growing field with increasing demand for specialists such as Generative AI Analysts, who develop and refine AI models like GPT and DALL·E. Careers in this area often require skills in machine learning, programming, and data analysis, and offer opportunities across technology, healthcare, entertainment, and other industries. The field is expected to continue expanding as AI applications become more integrated into various sectors.

What are popular job titles related to Generative Ai Analyst jobs in Baltimore, MD?

For Generative Ai Analyst jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Generative Ai Analyst jobs in Baltimore, MD look for?

The top searched job categories for Generative Ai Analyst jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Generative Ai Analyst jobs?

Cities near Baltimore, MD with the most Generative Ai Analyst job openings:

Generative Ai Analyst jobs near you
Infographic showing various Generative Ai Analyst job openings in Baltimore, MD as of July 2026, with employment types broken down into 73% Full Time, 18% Part Time, and 9% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $88,001 per year, or $42.3 per hour.

AI Analyst Information Technology Baltimore/Washington DC Metro Area, MD

Hartman Executive Advisors

Baltimore, MD • On-site

$80 - $100/hr

Other

Medical, Dental, Vision, Retirement

Posted 6 days ago

Job description

Hartman Executive Advisors was founded with the vision of providing business-focused, vendor-independent consulting to mid-sized companies. As independent, trusted strategic advisors to our clients, Hartman’s mission is to create meaningful business outcomes that foster growth, greater financial returns and market dominance. By developing a deep understanding of the business challenges arising from poorly aligned technology and uncovering the transformational opportunities that result from strategically aligned technology, we set the path to advance, cultivate and leverage people, processes and systems to change and transform organizations. At Hartman, we deliver powerful business outcomes by leveraging technology strategy as a gamechanger for our clients.

Summary

The AI Analyst supports the design, development, and deployment of artificial intelligence and machine learning solutions to solve business problems for clients and internal teams. This role combines data analysis, AI model development, and consulting support to help translate business needs into practical AI-driven solutions. The AI Analyst will work within Hartman’s Data/AI service line supporting a portfolio of client engagements related to prompt design, tool testing, and prototype creation.

Responsibilities

Model Development & Testing

  • Assist in building, training, and validating machine learning models.
  • Support development of predictive models, NLP systems, or automation tools.
  • Evaluate model performance using appropriate metrics and validation methods.

AI Solution Development

  • Contribute to development of AI-driven applications or prototypes.
  • Work with engineers to deploy models into production environments.
  • Support integration of AI solutions with client systems and workflows.

Business & Client Engagement

  • Translate business requirements into analytical and AI use cases.
  • Assist with client workshops, presentations, and demonstrations of AI solutions.
  • Document methodologies, results, and recommendations.

Research & Innovation

  • Stay current with developments in AI, machine learning, and generative AI.
  • Contribute to internal knowledge sharing and thought leadership.
Qualifications
  • Bachelors Degree in Computer Science, Data Analysis or IT related field
  • 2+ years of professional experience preferably in data analysis, business process improvement with a background experimenting and working hands-on with AI tools
  • Familiarity with generative AI tools like Copilot, Claude, ChatGPT or Power Automate
  • Strong communication and presentation skills
  • Ability to translate technical findings into business insights
  • Background in consulting and/or professional services preferred but not required
Job Details

Job Type: Full-Time

Benefits: Medical, Dental, Vision, 401k with Match

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