Jobs · Engineering · North Carolina

VP- AI Ops Engineer

Experis · Charlotte, NC · Yesterday
On-siteEngineering$155k–$165k/yrFull-time

About the role

As a VP- AI Ops Engineer, you will be part of the Platform Engineering department supporting AI and GenAI platform operations. The ideal candidate will demonstrate strong leadership, adaptability, and collaborative skills which will align successfully in the organization.

Responsibilities

  • Design, operationalize, and oversee the MLOps/LLMOps backbone for AI platforms on Databricks and Azure Cloud Services.
  • Develop and implement automated CI/CD pipelines and infrastructure-as-code for models, prompts, and agents, ensuring reliable deployment strategies.
  • Establish governance, version control, and auditability across data, models, prompts, and responses, ensuring compliance and traceability.
  • Create observability frameworks for data quality, model drift, application performance, and cost governance aligned with FinOps principles.
  • Lead testing, validation, and responsible AI controls to ensure safety, fairness, and security of AI systems in production environments.

Requirements

  • Bachelor’s degree in Computer Science, Machine Learning, Data Science, or a related field.
  • 5+ years of experience deploying, operating, and maintaining advanced ML or GenAI models in production, with a focus on MLOps/LLMOps.
  • 3+ years of hands-on experience with Python and GenAI frameworks/tools such as Databricks Vector Search, Azure AI Search, LangGraph, haystack, or Llama Index.
  • Deep expertise with MLOps/LLMOps tooling including MLflow, data platforms like Databricks, and cloud platforms such as Azure.
  • Proven ability to develop RESTful services, containerization, and automated CI/CD systems, with strong monitoring and alerting skills for AI systems.

Benefits

  • Opportunity to lead innovative AI platform operations in a high-stakes financial environment.
  • Work with cutting-edge technologies and emerging AI-Ops tooling to enhance reliability and efficiency.
  • Collaborate with diverse, talented teams to drive impactful AI solutions.
  • Engage in continuous learning and professional growth within a supportive organization.
  • Competitive salary with comprehensive benefits package.
  • Upon Completion Of Waiting Period Consultants Are Eligible For
    • Medical and Prescription Drug Plans
    • Dental Plan
    • 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
    • 401(k), Plus Match
    • Weekly Pay

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