Director, AI Ops & MLOps Platform

Experis; Charlotte (NC); On-site; USD 165,000 - 190,000; Full time

Benefits offered by this job

Medical and Prescription Drug Plans

Vision Plan

Health Savings Account

Health Flexible Spending Account

Dependent Care Flexible Spending Act

Supplemental Life Insurance

Short Term and Long Term Disability

Business Travel Insurance

Weekly Pay

Job summary

Experis in Charlotte, NC is seeking a Director- AI Ops Engineering Lead to define and drive the strategy for operationalizing, monitoring, and governing the AI/GenAI platform, pipelines, and agents.

You will partner with Azure and Databricks to build the MLOps backbone, lead CI/CD and infrastructure-as-code, and implement governance for compliant, scalable model deployment.

This role offers the chance to lead a dedicated AI-Ops team in a high-stakes financial environment.

Qualifications

• Bachelor’s degree required; advanced degrees are a plus.
• 8+ years of hands-on experience deploying and maintaining advanced ML models in production.
• 3+ years in technical leadership, mentoring teams and strategic planning.

Responsibilities

• Define and drive strategy for operationalizing, monitoring, and governing the AI/GenAI platform, models, pipelines, and agents.
• Establish standards and operating models for enterprise MLOps/LLMOps adoption.
• Partner with Azure and Databricks to build and maintain the MLOps backbone of the platform.
• Lead development of CI/CD pipelines, automation, and infrastructure-as-code for reliable model deployment and management.
• Implement governance, versioning, and auditability for compliance and operational excellence.

Skills

Python

GenAI frameworks

MLOps/LLMOps tooling

Education

Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field

Advanced degrees preferred

Tools

MLflow

Databricks

Azure cloud services

Job description

Experis in Charlotte, NC is seeking a Director- AI Ops Engineering Lead to define and drive the strategy for operationalizing, monitoring, and governing the AI/GenAI platform, pipelines, and agents.

You will partner with Azure and Databricks to build the MLOps backbone, lead CI/CD and infrastructure-as-code, and implement governance for compliant, scalable model deployment.

This role offers the chance to lead a dedicated AI-Ops team in a high-stakes financial environment.