E

Equifax

Credit reporting data analytics and risk

Generative AI Engineer

Full-Time
No salary listed
Junior
Bachelor's, Master's
Alpharetta, GA, USA+1 moreMore locations: Atlanta, GA, USA
HybridMust work from the Alpharetta or Atlanta office four days per week, Monday through Thursday.
Software EngineeringAI Application Engineering
No H1B Sponsorship

About the job

Requirements
  • A bachelor's degree or higher in Computer Science, Computer Engineering, Statistics, Mathematics, or a related quantitative field.
  • Hands-on experience developing and building Generative AI or large language model solutions.
  • At least one year of experience working within modern cloud environments.
  • Proficiency in Python and AI frameworks such as LangChain.
  • Familiarity with consuming REST APIs and working with lightweight web frameworks such as Flask or FastAPI.
  • Ability to learn and apply new technologies and stay abreast of advancements in Generative AI research and technology.
  • Strong communication skills to present analytical results to technical and non-technical audiences.
  • Must work from the Alpharetta or Atlanta, Georgia office four days per week, Monday through Thursday.
  • The position does not offer current or future immigration sponsorship, including F-1 STEM OPT extension support.
Responsibilities
  • Design and develop key components of Generative AI solutions on Google Cloud Vertex AI to generate insights from structured and unstructured data, and collaborate with engineering teams on deployment.
  • Integrate diverse data sources, data types, and data structures into AI and large language model-based solutions using data and technology best practices.
  • Implement prompt engineering and Retrieval-Augmented Generation strategies to improve response accuracy.
  • Integrate Generative AI capabilities into data pipelines, dashboards, and APIs for real-time analytics.
  • Translate business requests into AI-enabled analytical and technical solutions.
  • Develop and maintain knowledge of advancements in AI, particularly in generative AI and its applications in data analysis and insight generation.
  • Communicate complex technical concepts clearly and concisely to technical and non-technical audiences.
Desired Qualifications
  • Financial industry experience.
  • A master's degree in a related field.
  • Experience contributing to production-grade software or enterprise deployments.
  • Experience with additional programming languages such as Java or C/C++.
  • Exposure to Vertex AI, Google Cloud Platform AI/ML services such as AutoML, BigQuery ML, and Cloud Run, or similar cloud technology.
  • Foundational skills in the Linux operating system.
  • Understanding of natural language processing, deep learning, and generative architectures such as Transformers and Diffusion Models.
  • Background in credit risk, financial data analytics, or risk modeling.
  • Experience working with large datasets on a big data platform such as Google Cloud, AWS, Snowflake, or Hadoop.
  • Experience in Business Intelligence, data visualization, and customer insights generation.
  • Familiarity with data governance, model bias mitigation, and regulatory frameworks such as GDPR, AI Act, and SEC compliance.
  • Experience with MLOps practices, model monitoring, and CI/CD for AI workflows.
  • Knowledge of prompt tuning, fine-tuning, and parameter-efficient methods such as LoRA and PEFT.
  • Hands-on experience with Retrieval-Augmented Generation, multimodal AI, and hybrid AI architectures.
  • Contributions to the AI community through publications, open-source projects, or conference presentations.

About the company

Equifax is a global data, analytics, and technology company that provides credit information and related services to businesses, governments, and consumers. It collects and analyzes large amounts of data to generate insights used for credit reporting, risk management, fraud detection, and identity verification. The company uses its Equifax Cloud to combine data with advanced analytics and machine learning, delivering credit reports, risk assessments, and global market insights to help clients make smarter decisions and improve customer experiences. Compared with competitors, Equifax emphasizes its large, differentiated data assets and integrated analytics platform to offer comprehensive, end-to-end solutions for credit and risk management. Its goal is to help clients assess credit risk, detect fraud, and explore opportunities more confidently in a changing financial landscape.

Company Size

10,001+

Company Stage

IPO

Headquarters

Atlanta, Georgia

Founded

1899

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Simplify's Take

What believers are saying

  • Q2 2026 revenue rose 11% to $1.7 billion, with U.S. mortgage up 25%.
  • Equifax doubled its 2026-2028 AI cost-reduction target to $150 million on July 21, 2026.
  • Nationwide's six-million-user credit-score integration expands Equifax consumer visibility and engagement.

What critics are saying

  • FHFA's October 2026 bi-merge move can cut Equifax mortgage pulls almost immediately.
  • Bill Pulte called Equifax and peers 'overcharging Americans' on September 4, 2026.
  • The Bradberry settlement and FCRA scrutiny reinforce recurring accuracy risk and compliance drag.

What makes Equifax unique

  • Equifax's proprietary consumer and workforce data still powers mortgage, fraud, and identity decisions.
  • Equifax Cloud and AI-driven analytics underpin faster scoring, verification, and workflow automation.
  • The 2026 Círculo de Crédito acquisition expands Equifax's Latin American data moat.

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Benefits

  • Health Insurance
  • 401(k) Company Match
  • Paid Vacation
  • Hybrid Work Options
  • Discounted Gym Memberships
  • Employee Stock Purchase Plan
  • Mental Health Support

Growth & Insights and Company News

Headcount

6 month growth

7%

1 year growth

7%

2 year growth

7%
Yahoo Finance
Oct 20th, 2026
Equifax Q3 revenue rises 10% to $1.693B, but mortgage slump cuts 2026 outlook; $750M Circulo deal

Equifax reported third-quarter 2026 revenue of $1.693 billion, up 10%, slightly below its July guidance midpoint. A $20 million hit from the US mortgage market, where higher rates cut activity in September, explained the shortfall. Adjusted earnings per share rose 11% to $2.26, above the high end of guidance. EBITDA margins excluding FICO grew 130 basis points, helped by AI productivity and cost control. Equifax also agreed to buy Circulo for $750 million in enterprise value. The target's revenue rose 24% over the last 12 months, with 47% EBITDA margins, and the deal is expected to close in the fourth quarter. For 2026, the company expects revenue of $6.661 billion at the midpoint and adjusted EPS of $8.50. It cut its US mortgage revenue outlook by about $80 million.

Yahoo Finance
Oct 20th, 2026
Equifax Q3 revenue rises 10% to $1.69B, but mortgage slump cuts outlook; $750M Mexico deal planned

Equifax beat its third-quarter adjusted earnings per share guidance, reporting revenue of $1.693 billion, up 10%, and adjusted EPS of $2.26, up 11%. Growth in diversified markets and cost controls offset a sharp late-quarter drop in US mortgage activity. Higher mortgage rates hurt the outlook. Equifax expects full-year US mortgage revenue to be about $80 million below its July forecast, and 2027 mortgage transactions to fall by a high-single-digit percentage. The company plans to close its $750 million acquisition of Mexico's Círculo de Crédito in the fourth quarter. It raised its 2026 EBITDA margin expansion outlook to 100 basis points from 75, and has returned about $850 million to shareholders this year.

Yahoo Finance
Oct 20th, 2026
Equifax lands $550M in government contracts as AI lifts profit outlook

Equifax raised its full-year profit guidance on its third-quarter earnings call on October 20, 2026, citing efficiency gains from artificial intelligence (AI) tools. Revenue from its diversified markets grew 8% year over year. Its workforce verification unit has signed state agency deals worth over $550 million in annual contract value this year. They supply income and employment data, mainly for the Supplemental Nutrition Assistance Program and Centers for Medicare & Medicaid Services. About 2,000 mortgage lenders now use VantageScore, up sevenfold since April, after policy changes by the Federal Housing Finance Agency (FHFA). Management said a mortgage recovery could add $700 million of incremental margin.

PR Newswire
Oct 20th, 2026
Equifax Q3 revenue rises 10% to $1.693B despite weak US mortgage market, cuts 2026 guidance

Equifax reported third-quarter 2026 revenue of $1.693 billion, up 10% from a year earlier. Net income attributable to Equifax rose 32% to $211.7 million, and diluted earnings per share (EPS) climbed 39% to $1.79. Diversified Markets revenue grew 8%, helped by a record new product vitality index of over 17%. US Mortgage revenue rose 15%, though the company said the market weakened sharply in the second half of the quarter as rates rose. Equifax returned $158 million to shareholders through $92 million in share buybacks and $66 million in dividends. It cut full-year revenue guidance at the midpoint to $6.661 billion, citing the weaker mortgage market. Adjusted EPS guidance is $8.50, down $0.04. The Círculo de Crédito acquisition is expected to close in the fourth quarter.

FF News
Oct 19th, 2026
Prism Data secures $20M Series A to scale ai-powered cash flow underwriting.

Prism Data secures $20M Series A to scale ai-powered cash flow underwriting. Prism Data has secured $20 million in Series A funding to scale its cash flow underwriting technology, which uses bank transaction data to assess creditworthiness. For fintech professionals, this capital injection signals the growing institutional shift away from traditional credit scores toward real-time financial behavior analysis, particularly for gig workers and those with non-traditional income streams. What was announced. Prism Data has raised $20 million in a Series A funding round led by Story Ventures. The round saw participation from FINTOP, Core VC, Obvious Ventures, 1st & Main Growth Partners, and Mana Ventures. This latest injection of capital brings the company's total funding to more than $25 million, following a $5 million seed round announced in 2023. The investment follows a period of significant scaling for the startup, which reports that its monthly API volume has grown more than 100x over the last two years, representing an average compounded growth rate of more than 20% per month. The funding coincides with the launch of REFRACT(TM), a new AI-powered transaction categorization engine. REFRACT, which stands for Real-time Engine For Recognizing, Analyzing, and Categorizing Transactions, is built upon a proprietary dataset of more than 30 billion bank transactions. This engine is intended to serve as the technological foundation for Prism's forthcoming generation of credit scores and analytics. The company is currently working with several of the largest traditional banks in the United States to deploy these cash flow underwriting tools, aiming to reach millions of additional consumers and small businesses who may be underserved by traditional credit reporting methods. The companies involved. Prism Data is a U.S.-based cash flow analytics startup that has developed a platform for "cash flow underwriting." This method uses consumer bank account transaction data to provide a more granular view of creditworthiness than traditional credit scores. The company's infrastructure is designed to serve both modern fintechs and traditional financial institutions, currently counting three of the five largest U.S. fintech lenders and six of the ten largest digital banks as clients. The company's market position is strengthened by its distribution network, which includes major credit and data infrastructure providers such as Equifax, Plaid, and LexisNexis. These partnerships allow Prism's analytics to be integrated into existing financial workflows at scale. The investment round features a cross-section of venture capital firms focused on data infrastructure and financial technology. FINTOP, for instance, is a specialist in B2B financial technology, while Obvious Ventures and Core VC bring experience in backing infrastructure that bridges the gap between raw banking data and actionable credit insights. These investors are backing a shift in the credit market where real-time liquidity and spending patterns are becoming as influential as historical payment records in determining risk. What this means. This funding highlights a critical pivot point for the credit industry. As traditional credit reports increasingly fail to capture the nuances of the gig economy and non-wage income, the pressure is on legacy bureaus to integrate more granular, real-time data. Prism's rapid growth and its integration with giants like Equifax suggest that cash flow underwriting is no longer a niche fintech experiment but is becoming a standard requirement for modern lending. The launch of AI-driven categorization tools like REFRACT raises the bar for data accuracy, potentially leaving lenders who rely solely on static, month-old credit scores at a significant competitive disadvantage in risk pricing.