Lead AI Engineer
EquifaxSt. Louis, Missouri, United States • Alpharetta, Georgia, United States
Posted October 29, 2025
Full Time
About the Company
At Equifax (NYSE: EFX), we believe knowledge drives progress. As a global data, analytics, and technology company, we play an essential role in the global economy by helping financial institutions, companies, employers, and government agencies make critical decisions with greater confidence. Our unique blend of differentiated data, analytics, and cloud technology drives insights to power decisions to move people forward. Headquartered in Atlanta and supported by nearly 15,000 employees worldwide, Equifax operates or has investments in 24 countries in North America, Central and South America, Europe, and the Asia Pacific region. For more information, visit Equifax.com.
Job Description
Equifax is seeking a visionary AI engineer to lead our technology transformation initiative. As a Lead AI Engineer, you will lead a talented team in architecting and deploying cutting-edge, cloud-native solutions for a large enterprise. You will be at the forefront of modern development, employing vibe coding concepts with AI-powered coding assistants like GitHub Copilot, Gemini, and accelerate innovation and build highly scalable, reliable, and performant APIs, microservices, and PaaS/SaaS platforms.
Requirements
- 7+ years in software engineering, with a strong track record of technical leadership and shipping complex, scalable systems.
- 2+ years in a dedicated AI/ML role, with hands-on experience in model integration, MLOps, and applying AI to solve business problems.
- 1+ years of direct experience architecting and building solutions with LangChain, LangGraph, or similar agentic AI frameworks.
- 2+ years of in-depth experience with Google Cloud Platform (GCP), specifically its AI/ML services (Vertex AI, etc.).
- 3+ years of proven experience leveraging Kubernetes workloads.
- Proficiency in Python, JavaScript/TypeScript and/or Java and working knowledge of a modern front-end framework (Angular, React, or Vue) to collaborate effectively with UI teams.
- Hands-on experience with LLM observability tools like Langfuse for monitoring and debugging agentic workflows
- Cloud-Native Proficiency: Cloud Platforms, Containerization, Infrastructure as Code (IaC), CI/CD Tools, Database Knowledge
Benefits
- Comprehensive compensation and healthcare packages
- 401k matching
- Paid time off
- Organizational growth potential through our online learning platform with guided career tracks