✦ Luna Orbit — AI & Machine Learning

Lead AI Engineer (Agentic Systems)

at S&P Global

📍 3 Locations Hybrid Posted March 13, 2026
Type Full-Time
Experience lead
Exp. Years 11+ years
Education Not specified
Category AI & Machine Learning

This role involves designing and deploying autonomous AI workflows and multi-agent systems, focusing on scalable, real-time data processing and cloud-native infrastructure.

  • Architect multi-agent workflows and autonomous AI systems
  • Implement agent communication protocols
  • Build real-time data pipelines for AI workflows
  • Deploy and optimize models in cloud environments
  • Ensure observability and safety in AI operations

Environment includes Python, Docker, Kubernetes, LangGraph, CrewAI, AutoGen, Langfuse, Databricks, AWS, with a focus on AI orchestration, data pipelines, and operational observability.

The ideal candidate is a senior AI engineer with extensive experience in architecting autonomous AI systems, proficient in Python, containerization, and orchestration frameworks, with strong leadership and collaboration skills.

Experience architecting autonomous AI workflowsProficiency with PythonExperience with orchestration frameworks like LangGraphCrewAIAutoGenKnowledge of multi-agent systemsExperience with containerization and cloud deployment (DockerKubernetesAWS)
Experience with real-time data pipelinesKnowledge of Langfuse or similar observability toolsExperience with operational signals and control flowsExperience in Data EngineeringExperience with cloud-native infrastructure
PythonDockerKubernetesLangGraphCrewAIAutoGenLangfuseDatabricksAWSLiteLLM
PythonKubernetesDockerLangGraphCrewAIAutoGenLangfuseData EngineeringML EngineeringAI workflowsMulti-Agent SystemsOrchestration frameworksModel integrationReal-Time Data PipelinesOperational signalsCloud-nativeAWS
PythonKubernetesDockerLangGraphCrewAIAutoGenLangfuseData EngineeringML EngineeringAI workflowsAgentic SystemsMulti-Agent SystemsOrchestration frameworksModel integrationReal-Time Data PipelinesOperational signalsContainerizationAWSKubernetesDatabricks
LeadershipCollaborationProblem-solvingCommunicationTechnical mentorship
Industry Technology / AI & Automation
Job Function Leading the development of autonomous AI systems and multi-agent workflows
AI EngineerAutonomous AI workflowsMulti-Agent SystemsAgentic SystemsPythonKubernetesDockerLangGraphCrewAIAutoGenLangfuseData EngineeringML EngineeringReal-Time Data PipelinesOperational signalsCloud-nativeAWS

Lack of experience with autonomous AI systems, No proficiency in Python, No experience with Kubernetes or Docker, Lack of cloud deployment experience

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