Senior AI Systems Engineer - Remote MLOps & Platform Lead

ARA Brand; Raleigh, Albuquerque (NC, NM); Hybrid; USD 120,000 - 170,000; Full time

Job summary

ARA Brand in Raleigh, NC is seeking a senior AI Platform Engineer to lead deployment, integration, and support of AI platforms, tools, and services across on-prem and cloud environments.

You will design, implement, monitor, and optimize AI infrastructure, build CI/CD and MLOps pipelines, ensure security and governance, and collaborate with cross-functional teams to align technical initiatives with business goals.

Qualifications

• 8–10 years of engineering experience in AI/ML systems.
• 2+ years supporting AI/ML platforms and MLOps workflows.
• Strong coding and automation in Python, Bash, or similar.

Responsibilities

• Lead deployment, integration, and support of AI platforms and services.
• Design, implement, monitor, and optimize AI infrastructure across server and cloud.
• Operationalize ML workflows from development through production deployment.
• Build and maintain CI/CD and MLOps pipelines for models and lifecycle.
• Automate infrastructure using scripting, IaC, and config management.
• Provide ongoing support, troubleshooting, RCA, and documentation.
• Maintain observability with logging, metrics, and alerts.
• Ensure security, compliance, and governance, including audits.
• Collaborate across divisions to align with business objectives.
• Evaluate emerging AI tools and frameworks for fit and value.

Skills

Python

Bash

CI/CD

Kubernetes

MLOps

PyTorch

HuggingFace

Security frameworks

Communication

Education

Bachelor's degree in CS/Engineering or related field

Advanced degree or AI/ML certifications

Tools

Git

Docker

OpenShift or Kubernetes tooling

Job description

ARA Brand in Raleigh, NC is seeking a senior AI Platform Engineer to lead deployment, integration, and support of AI platforms, tools, and services across on-prem and cloud environments.

You will design, implement, monitor, and optimize AI infrastructure, build CI/CD and MLOps pipelines, ensure security and governance, and collaborate with cross-functional teams to align technical initiatives with business goals.