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Generative Ai Analyst Jobs in Georgia (NOW HIRING)

Carrier

AI & Data Solution Architect

Atlanta, GA · On-site

Architect solutions for core ML use cases such as demand forecasting, predictive maintenance, supply chain optimization, and customer analytics. Lead architecture for Generative AI and Agentic AI ...

Techno Talent Inc.

AI Product Owner

Alpharetta, GA · On-site

Identify and prioritize high-value opportunities for AI, Machine Learning, Generative AI, LLMs, and automation . * Define product requirements for AI capabilities including predictive analytics ...

Digipulse Technologies, Inc

AI Engineer

Atlanta, GA · On-site

$69K - $89K/yr

... analysis. The ideal candidate should have at least one year of hands-on experience with Generative AI, LLMs, prompt engineering, conversational AI, or AI testing . Key Skills * Generative AI and ...

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 ...

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 ...

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 ...

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All JobsGenerative Ai Analyst JobsGenerative Ai Analyst Jobs in Georgia

Generative Ai Analyst information

See Georgia salary details

$41.4K

$74.8K

$104.3K

How much do generative ai analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for generative ai analyst in Georgia is $74,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,000.00 and $84,000.00 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 Georgia?

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

What job categories do people searching Generative Ai Analyst jobs in Georgia look for?

The top searched job categories for Generative Ai Analyst jobs in Georgia are:

What cities in Georgia are hiring for Generative Ai Analyst jobs?

Cities in Georgia with the most Generative Ai Analyst job openings:

Generative Ai Analyst jobs near you
Infographic showing various Generative Ai Analyst job openings in Georgia as of August 2026, with employment types broken down into 71% Full Time, 19% Part Time, 7% Contract, and 3% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $74,786 per year, or $36 per hour.

AI & Data Solution Architect

Carrier

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Carrier rating

7.2

Company rating: 7.2 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

324th of 494 rated machine equipment manufacturers

Job description

About Carrier
Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, lifesaving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow on Carrier social media at @Carrier.
About the Role
Carrier is seeking a highly skilled and forward-thinking AI & Data Solution Architect to lead the design, architecture, and delivery of enterprise-scale Data, Analytics, and AI solutions across the organization. This role will play a critical part in defining enterprise data and AI architecture standards, shaping cloud-first platforms, and enabling scalable, secure, and cost-efficient adoption of analytics, machine learning, and generative AI.
The ideal candidate brings deep expertise across GCP, AWS, and Snowflake, strong experience with modern data platforms and lakehouse architectures, and proven leadership in AI/ML, Generative AI, and MLOps/LLMOps initiatives in production environments.
Key Responsibilities
Strategic & Architectural Leadership
  • Define and evolve Carrier's AI & Data architecture strategy and roadmap, aligned with business priorities and IT strategy.
  • Serve as a thought leader for modern data, analytics, and AI architectures, including Generative AI and Agentic AI.
  • Identify, evaluate, and recommend emerging technologies, platforms, and architectural patterns.
  • Partner with business and digital leaders to identify and prioritize high-impact AI and analytics use cases.
  • Provide architectural guidance on ethical, responsible, and compliant AI adoption.

Solution Architecture & Platform Design
  • Lead end-to-end architecture design for complex data, analytics, and AI initiatives, ensuring scalability, performance, security, and cost efficiency.

Design and govern cloud-based data platforms leveraging:
  • Google Cloud Platform (BigQuery, Vertex AI, Dataflow, Dataproc, Looker)
  • AWS (S3, Glue, EMR, Redshift, SageMaker, Lambda)
  • Snowflake (data warehouse, data sharing, performance optimization)

Architect modern enterprise data architectures, including:
  • Data Lake, Lakehouse, Data Mesh, and Data Fabric
  • Open table/file formats such as Parquet, Iceberg, Delta Lake
  • Medallion architectures (Bronze/Silver/Gold)
  • Define data ingestion and integration patterns across structured and semi-structured sources (SAP, Oracle, Salesforce, JDE, Ariba, IoT, APIs, NoSQL).
  • Define and enforce data quality, metadata, lineage, and access control standards.

AI, ML, and Generative AI Architecture
  • Design and implement AI/ML and GenAI solution architectures from experimentation through production.
  • Architect solutions for core ML use cases such as demand forecasting, predictive maintenance, supply chain optimization, and customer analytics.

Lead architecture for Generative AI and Agentic AI, including:
  • LLM integration with tools, APIs, and knowledge bases (RAG patterns)
  • Autonomous and semi-autonomous agent workflows
  • Fine-tuning, prompt engineering, and optimization strategies
  • Establish MLOps and LLMOps frameworks for model training, deployment, monitoring, evaluation, and lifecycle management.
  • Define approaches for model observability, explainability (XAI), bias detection, and risk mitigation.

Technical Leadership & Collaboration
  • Provide technical leadership and mentorship to solution architects, data engineers, data scientists, and AI engineers.
  • Collaborate closely with platform, DevOps, and cloud engineering teams to enable automation-driven deployments.
  • Review solution designs, conduct architecture assessments, and provide impact analysis and recommendations.
  • Communicate complex technical concepts clearly to both technical and executive audiences.

Required Qualifications
  • Bachelor's Degree in engineering or technical discipline.
  • 8+ years hands-on experience in data architecture, analytics solutions, and/or cloud data platforms.
  • 3+ years of hands-on experience delivering AI/ML and Generative AI solutions in production.
  • 6+ years of experience designing and scaling enterprise data platforms on GCP, AWS, and Snowflake.
  • Must have unrestricted authorization to work in the USA. No visa sponsoring available.

Preferred Qualifications
  • Master's degree or Ph.D. preferred.
  • Demonstrated success leading large-scale, cross-functional data and AI initiatives.
  • Cloud platforms: GCP and AWS (multi-cloud experience strongly preferred)
  • Data platforms: Snowflake, BigQuery, Data Lakes, Lakehouse architectures
  • Programming & analytics: Python, SQL, PySpark
  • AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost)
  • GenAI/LLM frameworks, vector databases, graph databases
  • Data engineering tools (Spark, Kafka, Hadoop)
  • Containerization and orchestration (Docker, Kubernetes)
  • CI/CD and DevOps practices
  • Strong understanding of data modeling, performance tuning, and cost optimization.
  • Strong architectural thinking and problem-solving skills.
  • Excellent communication and stakeholder management capabilities.
  • Ability to influence without authority and operate effectively in matrixed organizations.
  • Self-driven, organized, and able to manage multiple priorities.

Preferred Certifications
  • AWS Certified Solutions Architect
  • Google Cloud Professional Cloud Architect
  • Snowflake or Data Engineering certifications

Pay Range
The annual salary for this position is between $96,000.00 - $192,000.00 annually. Factors which may affect pay within this range include, but are not limited to, skills, education, experience, and other unique qualifications of the successful candidate.
Other Compensation
This position is entitled to short-term cash incentives, subject to plan requirements.
Benefits
Employees are eligible for benefits, including:
  • Health Care Benefits: Medical, Dental, Vision; Wellness incentives
  • Retirement Benefits
  • Time off and Leave: Paid vacation days, up to 15 days; paid sick days, up to 5 days; paid personal leave, up to 5 days; paid holidays, up to 13 days; birth and adoption leave; parental leave; family and medical leave; bereavement leave; jury duty leave; military leave; purchased vacation
  • Disability: Short-term and long-term disability
  • Life Insurance and Accidental Death and Dismemberment
  • Tax-Advantaged Accounts: Health Savings Account; Health Care Spending Account; Dependent Care Spending Account
  • Tuition Assistance

To learn more about our benefits offering, please click here Work with us | Carrier CorporateThe specific benefits available to any employee may vary depending on state and local laws and eligibility factors, such as date of hire and the applicability of collective bargaining agreements.
Carrier EEO Statement and Accommodations Process
Carrier is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status or any other applicable state or federal protected class. Carrier provides affirmative action in employment for qualified individuals with a Disability and Protected Veterans in compliance with section 503 of Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
If you require a reasonable accommodation to complete the application process, participate in an interview, or otherwise engage in the hiring process, please contact us at Carrier.Recruiting@carrier.com. We will make every effort to meet your needs in accordance with applicable laws.
Application Deadline
Applications will be accepted for at least 3 days from Job Posting Date: 5 August 2026
Job Applicant's Privacy Notice
Please click on the link to review the Job Applicant Privacy Notice.
Use of AI
Technology-enabled tools may support parts of the recruitment process, with oversight by people.

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About Carrier

Sourced by ZipRecruiter

Carrier is the leading global provider of healthy, safe and sustainable building and cold chain solutions with a world-class, diverse workforce with business segments covering HVAC, refrigeration, and fire and security. We make modern life possible by delivering safer, smarter and more sustainable services that make a difference to people and our planet while revolutionizing industry trends. This is why we come to work every day. Join us and we can make a difference together.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Palm Beach Gardens, FL, US

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