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Business Analyst Generative Ai Jobs (NOW HIRING)

Design, develop, and implement advanced AI and Generative AI solutions to address complex business ... Strong analytical, problem-solving, and communication skills. Preferred Skills * Experience with ...

Design, develop, and implement advanced AI and Generative AI solutions to address complex business ... Strong analytical, problem-solving, and communication skills. Preferred Skills * Experience with ...

TX · On-site

Design, develop, and implement advanced AI and Generative AI solutions to address complex business ... Strong analytical, problem-solving, and communication skills. Preferred Skills * Experience with ...

Design, develop, and implement advanced AI and Generative AI solutions to address complex business ... Strong analytical, problem-solving, and communication skills. Preferred Skills * Experience with ...

Design, develop, and implement advanced AI and Generative AI solutions to address complex business ... Strong analytical, problem-solving, and communication skills. Preferred Skills * Experience with ...

Design, develop, and implement advanced AI and Generative AI solutions to address complex business ... Strong analytical, problem-solving, and communication skills. Preferred Skills * Experience with ...

Design, develop, and implement advanced AI and Generative AI solutions to address complex business ... Strong analytical, problem-solving, and communication skills. Preferred Skills * Experience with ...

Design, develop, and implement advanced AI and Generative AI solutions to address complex business ... Strong analytical, problem-solving, and communication skills. Preferred Skills * Experience with ...

Design, develop, and implement advanced AI and Generative AI solutions to address complex business ... Strong analytical, problem-solving, and communication skills. Preferred Skills * Experience with ...

Design, develop, and implement advanced AI and Generative AI solutions to address complex business ... Strong analytical, problem-solving, and communication skills. Preferred Skills * Experience with ...

Design, develop, and implement advanced AI and Generative AI solutions to address complex business ... Strong analytical, problem-solving, and communication skills. Preferred Skills * Experience with ...

Design, develop, and implement advanced AI and Generative AI solutions to address complex business ... Strong analytical, problem-solving, and communication skills. Preferred Skills * Experience with ...

Design, develop, and implement advanced AI and Generative AI solutions to address complex business ... Strong analytical, problem-solving, and communication skills. Preferred Skills * Experience with ...

Design, develop, and implement advanced AI and Generative AI solutions to address complex business ... Strong analytical, problem-solving, and communication skills. Preferred Skills * Experience with ...

Design, develop, and implement advanced AI and Generative AI solutions to address complex business ... Strong analytical, problem-solving, and communication skills. Preferred Skills * Experience with ...

Design, develop, and implement advanced AI and Generative AI solutions to address complex business ... Strong analytical, problem-solving, and communication skills. Preferred Skills * Experience with ...

Design, develop, and implement advanced AI and Generative AI solutions to address complex business ... Strong analytical, problem-solving, and communication skills. Preferred Skills * Experience with ...

Business Analyst II

Grand Rapids, MI · On-site +1

$67K - $85K/yr

Translates business problems into clear solution requirements for agentic AI, generative AI, and ... Strong analytical and problem-solving skills, including the ability to structure ambiguous problems ...

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Business Analyst Generative Ai information

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$47

$71

How much do business analyst generative ai jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for business analyst generative ai in the United States is $47.43, according to ZipRecruiter salary data. Most workers in this role earn between $35.58 and $59.38 per hour, depending on experience, location, and employer.

What does a business analyst in generative AI do?

A Business Analyst in Generative AI works at the intersection of business strategy and advanced AI technologies. They identify opportunities where generative AI models—such as large language models—can add value to business processes, products, or services. Their responsibilities include gathering requirements, analyzing data, designing workflow solutions with AI capabilities, and communicating technical concepts to non-technical stakeholders. They also help ensure that AI projects align with organizational goals and comply with ethical guidelines. Ultimately, they play a key role in driving AI adoption and innovation within the organization.

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

To thrive as a Business Analyst in Generative AI, you need strong analytical thinking, data interpretation skills, and a background in business or computer science, often supported by a relevant degree. Familiarity with AI tools, data visualization platforms, and experience with systems like Python, SQL, or machine learning frameworks are typically required. Excellent communication, problem-solving abilities, and adaptability help you bridge the gap between technical teams and business stakeholders. These skills are crucial for identifying opportunities, translating complex AI capabilities into business value, and ensuring successful implementation of generative AI solutions.

How does a business analyst specializing in generative AI typically collaborate with data scientists and engineers on project teams?

As a Business Analyst in Generative AI, you will often serve as a bridge between stakeholders and technical teams. You'll work closely with data scientists and engineers to translate business requirements into technical specifications, ensuring AI models align with organizational goals. Collaboration often involves clarifying use cases, prioritizing features, and validating outcomes through regular meetings and agile methodologies. Your ability to communicate complex AI concepts in business terms and facilitate feedback loops is essential for successful project delivery.

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

AspectBusiness Analyst Generative AiData Analyst
Required CredentialsBachelor's in Business, Data Science, or related fields; knowledge of AI toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentTech-driven, cross-functional teams, focus on AI integrationData-focused, reporting, and visualization tasks in various industries
Employer & Industry UsageTech companies, consulting firms, finance, healthcareRetail, finance, marketing, healthcare, and more

Business Analyst Generative Ai professionals focus on leveraging AI to analyze business needs and develop AI-driven solutions, while Data Analysts primarily interpret data to support decision-making. Both roles require analytical skills, but Business Analysts Generative Ai emphasize AI tools and business strategy integration.

More about Business Analyst Generative Ai jobs

What cities are hiring for Business Analyst Generative Ai jobs?

Cities with the most Business Analyst Generative Ai job openings:

What states have the most Business Analyst Generative Ai jobs?

States with the most job openings for Business Analyst Generative Ai jobs include:

Infographic showing various Business Analyst Generative Ai job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $98,662 per year, or $47.4 per hour.

Generative AI Engineer

PB consulting

Grapevine, TX • On-site

Full-time

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


Job description

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine learning, deep learning, and Natural Language Processing (NLP), with hands-on experience building and optimizing generative AI applications using open-source models and modern AI frameworks.

Roles and Responsibilities
  • Design, develop, and implement advanced AI and Generative AI solutions to address complex business requirements.

  • Collaborate with engineers, researchers, product managers, and business stakeholders to translate business needs into scalable AI solutions.

  • Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models while ensuring data quality and integrity.

  • Develop and optimize machine learning, deep learning, and NLP models for enterprise applications.

  • Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and text-to-image generation techniques.

  • Evaluate, compare, and optimize AI model architectures, hyperparameters, and performance metrics.

  • Apply responsible AI practices by identifying model bias, improving fairness, and ensuring ethical AI development.

  • Develop scalable AI solutions that integrate with enterprise applications and cloud platforms.

  • Participate in model testing, deployment, monitoring, and continuous improvement.

  • Contribute to AI best practices, technical documentation, and knowledge sharing across teams.

Required Skills
  • Strong proficiency in Python with major machine learning and deep learning libraries.

  • Hands-on experience with open-source Large Language Models (LLMs) such as Llama, Dolly, or similar models.

  • Strong knowledge of Machine Learning, Deep Learning, Natural Language Processing (NLP), neural networks, transformers, supervised and unsupervised learning.

  • Experience with Generative AI techniques including text generation, text-to-image generation, and Generative Adversarial Networks (GANs).

  • Experience with data preprocessing, feature engineering, SQL, and data manipulation.

  • Familiarity with AI model evaluation, optimization, and hyperparameter tuning.

  • Strong analytical, problem-solving, and communication skills.

Preferred Skills
  • Experience with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform (GCP).

  • Experience developing AI applications in both on-premises and cloud environments.

  • Knowledge of CI/CD pipelines and AI application deployment practices.

  • Familiarity with MLOps, model lifecycle management, and scalable AI deployment architectures.

Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

  • Experience designing, developing, and deploying enterprise AI or Generative AI solutions.

  • Ability to work effectively in cross-functional teams and deliver high-quality AI solutions in an agile environment.