✦ Luna Orbit — AI & Machine Learning

Director of Data Engineering (AI/DevOps)

at Travelers

📍 2 Locations Hybrid 💰 $139K – $230K USD / year Posted March 13, 2026
Salary $139K – $230K USD / year
Type Full-Time
Experience lead
Exp. Years 8+ years
Education Not specified
Category AI & Machine Learning

This leadership role involves managing AI and DevOps teams to develop and deploy scalable AI/ML models, emphasizing automation, CI/CD pipelines, and MLOps best practices within the insurance sector.

  • Lead AI/DevOps teams
  • Design CI/CD pipelines
  • Implement MLOps practices
  • Collaborate with stakeholders
  • Ensure scalable model deployment

The technical environment includes CI/CD tools like GitHub Actions and Jenkins, automation platforms, and data engineering with Python and SQL, focusing on AI model deployment and MLOps.

The ideal candidate is a senior leader with extensive experience in AI and DevOps, capable of designing and maintaining CI/CD pipelines for AI/ML models, with strong leadership and collaboration skills. They should have a background in data engineering and automation tools.

AIDevOpsCI/CD pipelinesGitHub ActionsJenkinsAutomation toolsData solutionsModel deploymentMLOps
Data engineeringPythonSQL
GitHub ActionsJenkinsAutomation tools
AIArtificial IntelligenceDevOpsCI/CD pipelinesGitHub ActionsJenkinsAutomation toolsData solutionsModel deploymentMLOpsData engineeringPythonSQL
AIArtificial IntelligenceDevOpsCI/CD pipelinesGitHub ActionsJenkinsAutomation toolsData solutionsModel deploymentMLOpsData engineeringPythonSQL
leadershipteam managementcollaborationproblem-solvingcommunication
Industry Insurance
Job Function Leading AI and DevOps initiatives for scalable model deployment
AIArtificial IntelligenceDevOpsCI/CD pipelinesGitHub ActionsJenkinsAutomation toolsData solutionsModel deploymentMLOpsData engineeringPythonSQL

Lack of experience with CI/CD pipelines and DevOps tools, No leadership or team management experience, Insufficient background in AI/ML deployment, No experience with automation tools like Jenkins or GitHub Actions

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