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Generative Ai Analyst Jobs in Powder Springs, GA

Hexaware Technologies, Inc

AI / Java Architect

Atlanta, GA · On-site

$60.50 - $81.75/hr

Generative AI, LLMs, RAG, Prompt Engineering * REST APIs * Testing & Quality Engineering * CI/CD and Agile Development Key Responsibilities * Gather and analyze business requirements and translate ...

CYNET SYSTEMS

AI Engineer

Atlanta, GA · On-site

$50 - $55/hr

Hands-on expertise in integrating Generative AI (GenAI) and Large Language Model (LLM) solutions ... Strong analytical and problem-solving skills. * Excellent communication and stakeholder management ...

Warnerbros

Staff, Data Science & Applied AI

Atlanta, GA · On-site

Advanced Analytics & Machine Learning * Design, develop, and deploy statistical, predictive, and ... Generative AI & LLM Applications * Design and implement Generative AI solutions leveraging large ...

Deloitte

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

Our offerings help clients innovate, enhance, and operate their data, AI, and analytics ... processing, or generative artificial intelligence solutions. * 2+ years of experience using ...

Adidev Technologies Inc

ML/AI Engineers

Atlanta, GA · On-site

$150 - $200/hr

Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. * Lead cross-functional collaborations to integrate ...

YO AI Labs

Analytics Expert - Remote

Atlanta, GA · Remote

$30 - $80/hr

Experience using generative AI or AI agents in professional workflows. * Experience integrating BI platforms with workplace and cloud-based systems. * Strong analytical, problem-solving, and ...

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All JobsGenerative Ai Analyst JobsGenerative Ai Analyst Jobs in Powder Springs, GA

Generative Ai Analyst information

See Powder Springs, GA salary details

$46.4K

$83.9K

$116.9K

How much do generative ai analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for generative ai analyst in Powder Springs, GA is $83,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $94,200.00 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 job categories do people searching Generative Ai Analyst jobs in Powder Springs, GA look for?

The top searched job categories for Generative Ai Analyst jobs in Powder Springs, GA are:

What cities near Powder Springs, GA are hiring for Generative Ai Analyst jobs?

Cities near Powder Springs, GA with the most Generative Ai Analyst job openings:

Generative Ai Analyst jobs near you
Infographic showing various Generative Ai Analyst job openings in Powder Springs, GA as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, and 5% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $83,868 per year, or $40.3 per hour.

Enterprise AI Program Manager

Inficare Technologies

Atlanta, GA • On-site

Full-time, Contractor

Posted 25 days ago

Job description

Job Title: Enterprise AI Program Manager
Location: Atlanta, GA
Job Type: Contract (12 Months)
Experience: 12+ years
Job Overview
Key Responsibilities
  • Partner with business and technology leaders to define enterprise AI vision, strategy, and transformation roadmaps
  • Identify high-impact AI and Generative AI use cases aligned with organizational goals
  • Manage cross-functional teams including Data Scientists, AI Engineers, Product Managers, Architects, and Business Stakeholders
  • Drive adoption of Generative AI technologies including LLMs, AI Assistants, Intelligent Automation, and Conversational AI
  • Establish AI governance standards, operating models, and compliance frameworks
  • Present program status, business impact, and recommendations to senior leadership
  • Monitor budget, resource allocation, timelines, and program health
Required Skills
  • 12+ years in Program Management, Technology Consulting, Digital Transformation, or Enterprise Strategy
  • 5+ years managing AI, Machine Learning, Advanced Analytics, or Data Transformation programs
  • Strong understanding of Generative AI, LLMs, NLP, and Data Platforms
  • Experience with Azure OpenAI, AWS AI/ML Services, Google Cloud AI Platform, Databricks, Snowflake, or BigQuery
  • Proven executive stakeholder management and communication skills
  • Strong financial management, budgeting, and business case development experience
Preferred Skills
  • MBA or Master's in Business, Data Science, or AI-related field
  • Certifications: PMP, PgMP, PMI-ACP, SAFe Program Consultant, CSM, Microsoft Azure AI Engineer, AWS Machine Learning Specialty, or Google Professional Machine Learning Engineer
  • Hands-on experience with MLOps and enterprise-scale AI operationalization
  • Familiarity with Prompt Engineering, RAG, and AI Agents/Copilot technologies
Location & Work Model
Atlanta, GA - on-site or hybrid engagement for a 12-month contract, with potential for full-time conversion.
Engagement Details
12-month contract engagement. Full-time consideration also available for the right candidate.

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