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Generative Ai Specialist Jobs (NOW HIRING)

Tekshapers Inc

Generative AI/ML Engineer

New York, NY · On-site

The Gen AI Specialist will leverage advanced Generative AI models and Azure OpenAI services to develop innovative solutions for our investment banking processes. The ideal candidate will have a ...

Wolverine Staffing

AI Specialist

Pontiac, MI · Hybrid

AI Specialist * Seeking a contract AI Specialist (hybrid) to coordinate AI pilots, strengthen ... Experience with generative AI platforms such as ChatGPT, Copilot, or Claude. * Understanding of AI ...

Damco Solutions

GEN AI Developer

Dallas, TX · On-site

Damco Solutions is seeking a Generative AI Specialist responsible for designing, developing, and deploying generative AI models. This role involves collaborating with clients and development teams to ...

Cloudera

Applied AI Specialist

California, MD · On-site +1

... generative AI, and agentic systems, while developing the technical conviction needed to move initiatives from concept to production. The team combines Applied AI Specialists, strategic ecosystem ...

Forhyre

Generative AI Strategist

New York, NY

$132K - $171K/yr

... specialists to foster collaboration and innovation. * Build strong partnerships with regional ... Proven experience in strategizing and implementing generative AI solutions in a business context.

Cloudera

Applied AI Specialist

Chicago, IL · On-site

... generative AI, and agentic systems, while developing the technical conviction needed to move initiatives from concept to production. The team combines Applied AI Specialists, strategic ecosystem ...

New

Cloudera

Applied AI Specialist

Austin, TX · On-site

... generative AI, and agentic systems, while developing the technical conviction needed to move initiatives from concept to production. The team combines Applied AI Specialists, strategic ecosystem ...

New

Cloudera

Applied AI Specialist

Seattle, WA · On-site

... generative AI, and agentic systems, while developing the technical conviction needed to move initiatives from concept to production. The team combines Applied AI Specialists, strategic ecosystem ...

Cloudera

Applied AI Specialist

Raleigh, NC · On-site

... generative AI, and agentic systems, while developing the technical conviction needed to move initiatives from concept to production. The team combines Applied AI Specialists, strategic ecosystem ...

New

Forhyre

Generative AI Strategist

Plano, TX

$116K - $150K/yr

... specialists to foster collaboration and innovation. * Build strong partnerships with regional ... Proven experience in strategizing and implementing generative AI solutions in a business context.

Forhyre

$108K - $139K/yr

... specialists to foster collaboration and innovation. * Build strong partnerships with regional ... Proven experience in strategizing and implementing generative AI solutions in a business context.

Forhyre

OH · On-site

$117K - $151K/yr

... specialists to foster collaboration and innovation. * Build strong partnerships with regional ... Proven experience in strategizing and implementing generative AI solutions in a business context.

Cloudera

Applied AI Specialist

San Jose, CA · On-site

... generative AI, and agentic systems, while developing the technical conviction needed to move initiatives from concept to production. The team combines Applied AI Specialists, strategic ecosystem ...

New

Cloudera

Applied AI Specialist

Denver, CO · On-site

... generative AI, and agentic systems, while developing the technical conviction needed to move initiatives from concept to production. The team combines Applied AI Specialists, strategic ecosystem ...

New

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Generative Ai Specialist information

What is a generative AI specialist?

A Generative AI Specialist is a professional who designs, develops, and implements AI models that can create new content, such as text, images, music, or code. They work with advanced machine learning techniques, including neural networks and deep learning, to train systems like GPT or DALL-E. Their expertise is often used in industries such as entertainment, marketing, healthcare, and research to automate content creation, improve efficiency, and solve complex problems. Generative AI Specialists also ensure ethical use and address challenges related to bias and data privacy.

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

To thrive as a Generative AI Specialist, you need a strong background in machine learning, deep learning, and programming (often with Python), typically supported by a degree in computer science, data science, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and experience with generative models like GANs, VAEs, or LLMs—as well as relevant certifications—are highly valuable. Creative problem-solving, strong communication, and adaptability are critical soft skills for translating complex concepts and collaborating across teams. These skills are vital for developing cutting-edge AI solutions that meet business goals and drive innovation in rapidly evolving environments.

What are some of the main challenges a generative AI specialist faces when integrating AI models into existing business workflows?

A primary challenge for Generative AI Specialists is ensuring that the AI models they develop can be seamlessly integrated into legacy systems and existing business processes. This often involves collaborating closely with cross-functional teams such as IT, data engineering, and product management to address issues like data compatibility, scalability, and maintaining model performance in real-world scenarios. Additionally, specialists must navigate concerns about data privacy, model bias, and interpretability to ensure solutions align with organizational policies and regulatory requirements. Staying up-to-date with rapid advancements in the field and continuously improving models based on user feedback are also ongoing aspects of the role.

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

AspectGenerative Ai SpecialistData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of machine learning and deep learningDegree in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentFocus on developing generative models, working with AI frameworks, and creating AI-driven contentData analysis, modeling, visualization, and interpreting large datasets
Employer & Industry UsageTech companies, AI startups, research institutions focusing on AI content generationFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require a strong background in data and machine learning, a Generative Ai Specialist primarily focuses on creating and optimizing generative models like GPT or GANs, whereas a Data Scientist analyzes data to derive insights and support decision-making. The roles often overlap but differ in their core objectives and daily tasks.

How do I become a generative AI specialist?

To become a generative AI specialist, you should develop strong skills in machine learning, deep learning, and programming languages like Python. Gaining experience with neural networks, natural language processing, and tools such as TensorFlow or PyTorch is essential, along with a relevant degree or certifications in AI or data science. Practical experience through projects or internships can also help build expertise in this field.

What does a Generative Ai Specialist do?

A Generative AI Specialist develops and fine-tunes AI models that can create content such as text, images, or audio. They work with machine learning frameworks, analyze data, and optimize algorithms to ensure high-quality outputs, often requiring knowledge of programming languages like Python and familiarity with AI tools like TensorFlow or PyTorch.
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Infographic showing various Generative Ai Specialist job openings in the United States as of September 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.

Data Scientist / Generative AI Specialist

Charlotte, NC • On-site

Resource Innovative Technologies LLC
See more jobs at Resource Innovative Technologies LLCexternal

Other

Posted 16 days ago

Job description

Job Description: Data Scientist / Generative AI Specialist

Location: Charolette, NC

Position Overview

We are seeking a highly motivated and results-driven Data Scientist with Generative AI expertise to join our growing team. This role requires a professional with a strong foundation in traditional Data Science, including statistical modeling, Machine Learning (ML), and Deep Learning (DL), while also possessing hands-on experience with modern Generative AI and Large Language Model (LLM) solutions.

The ideal candidate will have excellent analytical and problem-solving skills, strong SQL expertise, and the ability to work independently with minimal supervision. This position is highly stakeholder-facing and requires someone who can translate business problems into scalable data-driven solutions.

Key Responsibilities

Design, develop, and implement advanced Data Science solutions leveraging statistical modeling, Machine Learning, and Deep Learning techniques.

Build and evaluate Generative AI and LLM-based solutions to address business challenges and improve operational efficiency.

Analyze large and complex datasets using SQL across Oracle (On-Prem), Google Cloud Platform, and AWS environments.

Work closely with business stakeholders to understand requirements, define objectives, and deliver actionable insights.

Develop predictive models, perform feature engineering, and validate model performance using industry best practices.

Collaborate with Data Engineering and MLOps teams to support model deployment and operationalization activities.

Stay current with emerging advancements in AI, Machine Learning, and Generative AI technologies.

Required Skills & Qualifications

Primary Skills

Strong foundation in Data Science, including:

Statistical Modeling

Machine Learning Algorithms

Deep Learning Techniques

Hands-on experience with Generative AI, Large Language Models (LLMs), and AI-driven solution development.

Strong SQL expertise with the ability to analyze and manipulate data in:

Oracle (On-Premises)

Google Cloud Platform (Google Cloud Platform)

Amazon Web Services (AWS)

Ability to independently solve complex business problems with minimal guidance.

Strong communication, presentation, and stakeholder management skills.

Secondary Skills

Understanding of MLOps concepts, workflows, and model lifecycle management.

Experience collaborating with MLOps teams for model deployment and monitoring activities.

Exposure to cloud-based data platforms and analytics ecosystems within Google Cloud Platform and AWS.

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