Senior AI Platform Engineer: GenAI & MLOps Lead

Truist; Richmond (VA); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k plan

Paid vacation

Paid sick days

Paid holidays

Job summary

Truist is seeking a senior AI/ML Platform Engineer to design, develop, and govern enterprise AI capabilities and data-driven solutions. You will lead large technical initiatives, build scalable AI/ML platform components, and balance performance, reliability, and security.

You will drive DevSecOps practices, champion IaC with Terraform, and partner with Cybersecurity and Risk teams to enforce controls and governance across services.

Qualifications

• Bachelor’s degree in CS, DS, AI, or related field.
• Minimum 7 years of AI and data experience.
• Strong knowledge of AI models, data architectures, and analytics methodologies.

Responsibilities

• Design, build, and execute the AI/ML and GenAI platform strategy aligned to enterprise architecture, security, and risk standards.
• Own the engineering and lifecycle management of AI/ML platform components for safe and deliberate consumption across the organization.
• Establish and champion DevSecOps practices for platform delivery, including GitLab source control, build automation, and CI/CD pipelines.
• Deploy infrastructure as code (IaC) to the cloud using Terraform modules and pipelines; define standards for environments, networking, identity, secrets, encryption, logging, and configuration management.
• Partner with Cybersecurity, Risk, and other 2nd line of defense teams to implement and evidence required security controls across platform services.

Skills

AI/ML platforms

GenAI

DevSecOps

Terraform

CI/CD

Kubernetes

Python ML

Security controls

Education

Bachelor’s degree in CS/DS/AI

Master’s degree (preferred)

Tools

Kubernetes

Terraform

GitLab

Job description

Truist is seeking a senior AI/ML Platform Engineer to design, develop, and govern enterprise AI capabilities and data-driven solutions. You will lead large technical initiatives, build scalable AI/ML platform components, and balance performance, reliability, and security.

You will drive DevSecOps practices, champion IaC with Terraform, and partner with Cybersecurity and Risk teams to enforce controls and governance across services.