Lead AI Engineer: Cloud-Native AI & Platform Architect

Equifax, Inc. in; St. Louis (MO); On-site; USD 140,000 - 180,000; Full time

Job summary

Equifax is seeking an AI Engineer in Finance to architect and deploy cloud-native AI solutions at scale. You will lead a team to build AI agents on Google Cloud Platform, steer MLOps practices, and collaborate with data scientists to solve complex financial problems.

The role emphasizes hands-on AI/ML, production readiness, and mentoring a cross-functional team in a fast-paced enterprise environment.

Qualifications

• Bachelor's degree in computer science or related field.
• 7+ years of software engineering with leadership experience.
• Hands-on AI/ML modeling, MLOps, and production deployment.

Responsibilities

• Architect, build, and deploy AI agents in production on GCP.
• Lead tooling and workflow improvements for AI systems and observability.
• Mentor engineers and drive technical excellence across teams.
• Collaborate with product and data science to deliver scalable AI solutions.

Skills

Python

Kubernetes

LangChain/LangGraph

GCP/AWS

Education

Bachelor's degree in Computer Science

Tools

GitHub Copilot

Langfuse

Terraform

Job description

Equifax is seeking an AI Engineer in Finance to architect and deploy cloud-native AI solutions at scale. You will lead a team to build AI agents on Google Cloud Platform, steer MLOps practices, and collaborate with data scientists to solve complex financial problems.

The role emphasizes hands-on AI/ML, production readiness, and mentoring a cross-functional team in a fast-paced enterprise environment.