✦ Luna Orbit — AI & Machine Learning

Staff GenAI Engineer - Application Performance Monitoring (APM)

at Datadog

📍 New York, New York, USA Hybrid Posted March 11, 2026
Type Full-Time
Experience senior
Exp. Years 10+ years
Education BS/MS/PhD in a scientific field or equivalent experience
Category AI & Machine Learning

Datadog seeks a senior GenAI Engineer to lead large-scale AI initiatives, focusing on deploying and evaluating models within telemetry and monitoring systems.

  • Lead GenAI/ML projects
  • Deploy and evaluate models
  • Build investigation tools
  • Collaborate across teams
  • Scale AI workflows

The role involves developing and deploying GenAI/ML models, utilizing telemetry data, and leading cross-functional AI projects with a focus on scalability and automation.

The ideal candidate is a senior AI/ML engineer with over 10 years of experience leading large-scale GenAI and ML projects, with expertise in model deployment, training, and evaluation, and strong leadership skills.

10+ years engineering experienceExperience leading GenAI/ML initiativesModel deployment and trainingStrong communication skillsCross-functional team influence
Experience with agentic workflowsBuilding investigation toolsProduct-minded developmentMentoring engineers
GenAI frameworksML deployment toolsTelemetry tools
GenAIMachine LearningModel DeploymentModel TrainingModel Fine-tuningModel EvaluationDistributed TracingTelemetry DataAI Frameworks
GenAIMachine LearningModel DeploymentModel TrainingModel Fine-tuningModel EvaluationDistributed TracingProfilingTelemetry DataAI/ML Frameworks
LeadershipCommunicationCross-functional CollaborationProblem-solvingStrategic Thinking
Industry SaaS
Job Function Lead large-scale GenAI and ML initiatives in monitoring systems
GenAIMachine LearningModel DeploymentModel TrainingModel Fine-tuningModel EvaluationDistributed TracingTelemetry DataAI/ML FrameworksLarge-scale ML initiativesCross-functional TeamsProduct-mindedLeadershipTechnical LeadAI research

Less than 10 years of relevant experience, No experience with GenAI or large-scale ML, Lack of leadership in AI projects, Unwillingness to work in hybrid environment

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