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Apprentice Generative Ai Engineer Jobs (NOW HIRING)

Equifax, Inc.

Generative AI Engineer

Atlanta, GA · On-site

Provide guidance and mentorship to junior data engineers. * Review dataset implementations ... Exposure in Vertex AI, GCP AI/ML services (AutoML, BigQuery ML, Cloud Run, etc.) or a similar cloud ...

Elliot Partnership

Generative AI Developer

New York, NY · On-site

* Generative AI Developer for a leading Quant Firm * Hybrid working in New York * Highly competitive ... engineer, if you're passionate about GAI, we want to hear from you! Why Join Us? * Work on cutting ...

Jj

Data and Generative AI Engineer

New Brunswick, NJ · On-site

$118K - $141K/yr

We are seeking a skilled and motivated Data and Generative AI Engineer to join our dynamic team. The candidate will have a strong background in software development, data engineering, Generative AI ...

New

Programmers.io

Senior Generative AI Developer

Irving, TX · On-site

$116K - $157K/yr

We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will ...

Saransh Inc

Generative AI Architect

Charlotte, NC · On-site

$61.50 - $81/hr

Generative AI Architect Location: Charlotte, NC (Onsite from Day 1) Job Type: Contract Skill ... and prompt engineering frameworks 3. Participate in cross-functional GenAI initiatives and PoC ...

Elliot Partnership

Lead Generative AI Developer

New York, NY · On-site

$64.50 - $84.50/hr

* Lead Generative AI Developer for a leading Quant Firm * Hybrid working in New York * Highly competitive compensation package Are you an experienced software developer passionate about Generative AI ...

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Apprentice Generative Ai Engineer information

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How much do apprentice generative ai engineer jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for apprentice generative ai engineer in the United States is $18.39, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $21.88 per hour, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior AI engineers, research directors, or executive positions in tech companies. These roles often require advanced skills in machine learning, deep learning, and experience with large-scale AI projects, along with leadership responsibilities and specialized certifications.

What engineers make $500,000?

Senior engineers in specialized fields such as software, data science, or AI engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Roles like senior AI or machine learning engineers often reach this level through bonuses, stock options, and other compensation components.

How can I become an AI engineer with no experience?

To become an AI engineer with no experience, start by learning programming languages like Python and studying machine learning fundamentals through online courses or tutorials. Gaining hands-on experience with tools such as TensorFlow or PyTorch and building small projects can help develop practical skills; internships or entry-level roles can also provide valuable industry exposure.

What is the difference between Apprentice Generative Ai Engineer vs Junior Data Scientist?

AspectApprentice Generative Ai EngineerJunior Data Scientist
Required CredentialsBasic understanding of AI, programming, and machine learning fundamentalsBachelor's degree in Data Science, Computer Science, or related field
Work EnvironmentHands-on training in AI development teams, often in tech companies or startupsData analysis, modeling, and reporting in various industries
Employer & Industry UsageTech companies focusing on AI products, research labs, startupsFinance, healthcare, marketing, and other data-driven sectors

The Apprentice Generative Ai Engineer role is focused on gaining practical experience in AI development, often with mentorship, while a Junior Data Scientist typically handles data analysis and modeling tasks. Both roles require foundational knowledge, but the Apprentice role emphasizes learning and skill development in generative AI technologies.

Which 3 jobs will survive AI?

For an Apprentice Generative AI Engineer, roles that require complex problem-solving, creativity, and emotional intelligence, such as AI ethics specialists, AI trainers, and human-centered design experts, are likely to persist. These jobs involve tasks that are difficult for AI to fully replicate and often require interdisciplinary skills and human judgment. Continuous learning and developing expertise in AI tools and ethical considerations will enhance job security in this field.
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Apprentice Generative Ai Engineer jobs near you
Infographic showing various Apprentice Generative Ai Engineer job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $38,247 per year, or $18.4 per hour.
Generative AI Engineer

Generative AI Engineer

Equifax, Inc.

Atlanta, GA • On-site

Full-time

Medical, Retirement, PTO

Posted 8 days ago

Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
What you'll do
  • Apply the knowledge of data characteristics and data supply pattern, develop rules and tracking process to support data quality model.
  • Prepare data for analytical use by building data pipelines to gather data from multiple sources and systems.
  • Integrate, consolidate, cleanse and structure data for use by our clients in our solutions.
  • Perform design, creation, and interpretation of large and highly complex datasets.
  • Stay up-to-date with the latest trends and advancements in GCP and related technologies, actively proposing and evaluating new solutions.
  • Understand best practices for data management, maintenance, reporting and security and use that knowledge to implement improvements in our solutions.
  • Implement security best practices in pipelines and infrastructure.
  • Develop and implement data quality checks and troubleshoot data anomalies.
  • Provide guidance and mentorship to junior data engineers.
  • Review dataset implementations performed by junior data engineers.

What experience you need
  • BS degree in a STEM major or equivalent discipline; Master's Degree strongly preferred
  • 5+ years of experience as a data engineer or related role
  • Cloud certification strongly preferred
  • Advanced skills using programming languages such as Python or SQL and intermediate level experience with scripting languages
  • Intermediate level understanding and experience with Google Cloud Platforms and overall cloud computing concepts, as well as basic knowledge of other cloud environments
  • Experience building and maintaining moderately-complex data pipelines, troubleshooting issues, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects
  • Experience designing and implementing moderately complex data models and experience enabling optimization to improve performance
  • Demonstrates advanced Git usage and CI/CD integration skills

What could set you apart
  • Master's degree in a related field is a strong plus
  • Exposure in Vertex AI, GCP AI/ML services (AutoML, BigQuery ML, Cloud Run, etc.) or a similar cloud technology
  • Strong foundational skills in Linux Operating System.
  • Understanding of NLP, deep learning, and generative architectures (Transformers, Diffusion Models, etc.)
  • Background in credit risk, financial data analytics or risk modeling.
  • Experience working with large datasets on a big data platform (e.g., Google Cloud, AWS, Snowflake, Hadoop)
  • Experience in Business Intelligence, data visualization, and customer insights
  • generation.
  • Familiarity with data governance, model bias mitigation, and regulatory frameworks (GDPR, AI Act, SEC compliance).
  • Experience with MLOps practices, model monitoring, and CI/CD for AI workflows.
  • Knowledge of prompt tuning, fine-tuning, and parameter-efficient methods (LoRA, PEFT).
  • Hands-on experience with RAG, multi-modal AI, and hybrid AI architectures.
  • Contributions to the AI community through publications, open-source projects, or conference presentations.

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-Atlanta-One-Atlantic-Center
USA-Atlanta JV White
Function:
Function - Data and Analytics
Schedule:
Full time

What Equifax employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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