Senior AI Platform Engineer: Build Scalable GenAI Pipelines

Truist; Atlanta (GA); On-site; USD 130,000 - 170,000; Full time

Job summary

Truist is seeking an experienced AI/ML Platform Architect to design and deliver enterprise AI capabilities, leading large technical initiatives across the organization. You will own platform components, drive DevSecOps, IaC with Terraform, and collaborate with Cybersecurity and risk teams to ensure governance, security, and reliability.

The role requires strong experience with AI models and data architectures, and a track record of delivering scalable cloud platforms in enterprise environments.

Qualifications

• Bachelor's degree in Computer Science, Data Science, AI, Software Engineering, or related field.
• Minimum of 7 years of professional experience in AI and data.
• Strong knowledge of AI models, data architectures, and analytics methodologies.

Responsibilities

• Design and lead AI/ML platform strategy aligned to enterprise standards.
• Own engineering and lifecycle management of AI/ML platform components.
• Establish DevSecOps practices for platform delivery.
• Deploy infrastructure as code (IaC) to the cloud using Terraform modules and pipelines.
• Partner with Cybersecurity, Risk, and other 2nd line of defense teams on security controls.
• Implement governance patterns for AI/ML and GenAI with data lineage and risk assessments.
• Provide technical leadership and hands-on engineering to solve platform problems.
• Build platform reliability through automation and observability.
• Enable self-service platform consumption via standardized APIs, pipelines, templates, and documentation.

Skills

AI/ML Platform

DevSecOps

CI/CD

Terraform

GitLab

IAM

Education

Bachelor's degree

Master's degree

Tools

Kubernetes/EKS

AWS

Azure

Python ML

Job description

Truist is seeking an experienced AI/ML Platform Architect to design and deliver enterprise AI capabilities, leading large technical initiatives across the organization. You will own platform components, drive DevSecOps, IaC with Terraform, and collaborate with Cybersecurity and risk teams to ensure governance, security, and reliability.

The role requires strong experience with AI models and data architectures, and a track record of delivering scalable cloud platforms in enterprise environments.