✦ Luna Orbit — AI & Machine Learning

Product Solutions Architect 3 - LLM Observability

at Datadog

📍 Boston, Massachusetts, USA; Denver, Colorado, USA; New York, New York, USA; San Francisco, California, USA Hybrid Posted March 11, 2026
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category AI & Machine Learning

This role involves designing and implementing architectures for LLM observability, partnering with customers to deploy solutions, and providing technical guidance on large-scale AI applications.

  • Partner with customers on architecture design
  • Create reference architectures and guides
  • Build proofs of concept
  • Drive adoption of LLM observability
  • Provide technical feedback to product teams

The technical environment includes distributed systems, observability tools such as tracing, metrics, logging, and programming in Python, JavaScript, and TypeScript, focused on LLM-powered applications.

The ideal candidate is a mid-level solutions architect with strong software engineering skills, experience with LLMs, distributed systems, and observability tools, capable of guiding customer deployments and designing scalable architectures.

Software EngineeringLLMDistributed SystemsObservabilityPythonJavaScriptTypeScript
Reference architecturesTechnical guidesCustomer deploymentsProof of conceptReal-world customer insights
Datadog LLM ObservabilityPythonJavaScriptTypeScript
Software EngineeringLarge Language ModelsDistributed SystemsObservabilityPythonJavaScriptTypeScript
Software EngineeringLLMLarge Language ModelsDistributed SystemsObservabilityTracingMetricsLoggingPythonJavaScriptTypeScriptArchitectural GuidanceCustomer Deployment
Customer engagementTechnical guidanceArchitectural designCollaborationDeep technical understandingOwnership
Industry SaaS
Job Function Design and deliver scalable architectures for LLM observability and customer deployment support.
Product Solutions ArchitectLLM ObservabilityLarge Language ModelsDistributed SystemsObservabilityTracingMetricsLoggingPythonJavaScriptTypeScriptArchitectural GuidanceCustomer DeploymentLLM

Lack of experience with distributed systems or observability, No background in software engineering or LLM applications, Unfamiliarity with SaaS or cloud environments

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