Lead AI Engineer

Equifax

Hybrid

Quick summary

Work type
Hybrid
Location
Alpharetta, GA · St. Louis
Posted
59 days ago

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Salary context

How this pay compares to similar roles

Similar $205k
$154k most similar roles pay here $256k

This listing doesn't post a salary. Most similar roles pay $163,683–$246,150.

Based on 240 similar postings.

Employer

About Equifax

Equifax is a global data, analytics, and technology company and one of the "Big Three" credit reporting agencies, specializing in consumer and commercial credit information.

Equifax currently has 30 open roles on FindRole.

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At a glance

TL;DR · Lead AI Engineer

As the Lead AI Engineer, you will join our dynamic team to drive technical vision and execution by designing and deploying complex AI agents using LangChain and LangGraph, ensuring they perform with maximum accuracy in production on Google Cloud Platform. You’ll lead research and innovation in AI, champion MLOps practices, and collaborate closely with product leaders and data scientists to translate business needs into innovative solutions. Your responsibilities include managing a cross-functional team of engineers, defining key engineering metrics, and leading troubleshooting efforts while fostering a culture of technical excellence. The ideal candidate has 7+ years of software engineering experience, including 2+ years in AI/ML roles with hands-on experience in model integration and MLOps. Proficiency in Python, JavaScript/TypeScript, Kubernetes, and cloud-native tools like Terraform and GitHub Actions is essential, along with a strong background in database knowledge and cloud platforms such as GCP.

What you'll do

  • Design and deploy complex AI agents using LangChain and LangGraph for automated decision-making.
  • Develop and refine prompts and contextual data frameworks to enhance AI agent accuracy and efficiency.
  • Identify and integrate cutting-edge AI models and techniques to solve unique business challenges.
  • Engineer scalable, reliable production environments on Google Cloud Platform for AI systems.
  • Establish best practices for MLOps to ensure the reliability and observability of AI agents in production.
  • Mentor a cross-functional team of engineers, fostering technical excellence and continuous improvement.
  • Define and report key engineering metrics to ensure compliance with security and quality standards.
  • Lead troubleshooting efforts to resolve production issues, demonstrating deep technical expertise.

What we're looking for

  • 7+ years of software engineering experience with technical leadership in complex, scalable systems.
  • 2+ years dedicated to AI/ML roles, including model integration and MLOps.
  • Direct experience architecting solutions with LangChain or similar agentic AI frameworks.
  • In-depth knowledge of Google Cloud Platform (GCP) and its AI/ML services.
  • Proficiency in Python, JavaScript/TypeScript, and modern front-end frameworks like React.
  • Hands-on experience with LLM observability tools for monitoring agentic workflows.
  • Strong expertise in Generative AI models and cloud-native technologies.

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