Director- AI Ops Engineering Lead

About the role

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.

Responsibilities

• 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.

Requirements

• 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.

Benefits

• 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
  • 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