Director- AI Ops Engineering Lead

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

$165,000 - $190,000/yearly

Job Title:

Director- AI Ops Engineering Lead

Location:

Charlotte, North Carolina

Pay Range:

$165,000 - $190,000

What's the Job?

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

What's Needed?

• Bachelor’s degree in Computer Science, Machine Learning, Data Science, or a related field; advanced degrees are a plus.
• 8+ years of hands-on experience deploying and maintaining advanced ML models in production environments.
• 3+ years of experience in technical leadership roles, including team mentorship and strategic planning.
• Deep expertise with Python, GenAI frameworks, and MLOps/LLMOps tooling such as MLflow, Databricks, and Azure cloud services.
• Proven ability to develop and deploy RESTful services, containerization, and automated CI/CD systems.

What's in it for me?

• Opportunity to lead innovative AI initiatives in a high-stakes financial environment.
• Collaborate with cutting-edge technologies and industry experts.
• Contribute to operational excellence and responsible AI practices.
• Grow your leadership skills by building and guiding a dedicated AI-Ops team.
• Be part of a forward-thinking organization committed to inclusion and ethical AI deployment.

Upon completion of waiting period consultants are eligible for:

• Medical and Prescription Drug Plans
• Vision Plan
• Health Savings Account
• Health Flexible Spending Account
• Dependent Care Flexible Spending Account
• Supplemental Life Insurance
• Short Term and Long Term Disability Insurance
• Business Travel Insurance
• Weekly Pay