✦ Luna Orbit — AI & Machine Learning

Sr. Manager, AI Platform Engineering

at United Airlines Holdings

Unknown 💰 $147K – $191K USD / year Posted March 31, 2026
Salary $147K – $191K USD / year
Type Not Specified
Experience senior
Exp. Years 5+ years
Education Bachelor's degree Computer Science, Data Science, Engineering or related field
Category AI & Machine Learning

Senior manager responsible for driving architecture, development, and operations of ML engineering and GenAI systems. Leads a team of ML engineers and collaborates with Data Science, Data Engineering, and DevOps to deliver enterprise AI solutions at scale.

  • Define and execute the ML/GenAI platform strategy aligned with enterprise digital transformation
  • Lead a team of ML engineers and collaborate with Data Science, Data Engineering, DevOps, and business units
  • Own platform roadmap, architecture decisions, and budget planning to scale AI capabilities
  • Design and operationalize GenAI pipelines (LLMs, RAG, prompt orchestration, fine-tuning, safety guardrails)
  • Build and deploy secure, scalable GenAI applications with privacy and compliance emphasis

Focuses on GenAI platform strategy, LLM integration, and GenAI pipelines (RAG, prompt orchestration, fine-tuning, safety guardrails) with strong emphasis on observability and governance; stack includes MLflow, KServe, SageMaker, Vertex AI, Databricks, Kubernetes, and Terraform.

The ideal candidate is a senior AI/ML platform leader with 5+ years building ML infrastructure, GenAI pipelines, and cross-functional leadership, proficient with MLOps, LLM tooling, and cloud platforms.

Bachelor's degree in Computer ScienceData ScienceEngineering or related field5+ years of experience leading product or technical teams2+ years Gen AI experienceProven experience guiding cross-functional teams through complexmulti-stakeholder programsAuthorized to work in the United States without sponsorship
Master's degree10+ years delivering large-scale initiativesCloud platform experience (AWSAzureGCP)Experience with LangChainExperience with governance and compliance for GenAI
MLflowKServeSageMakerVertex AIDatabricksSparkKafkaDelta LakeDockerKubernetesJenkinsGitOpsTerraform
ML engineeringGenAILLMsRAG pipelinesMLOpsplatform architectureobservabilityAIOpsKubernetesJenkinsGitOpsTerraformSageMakerVertex AIDatabricksKafkaDelta LakeSparkPythoncross-functional leadership
ML engineeringGenAILLMsRAG pipelinesMLOpsGenerative AILLM integrationAgent-based AIObservabilityAIOpsDataEngineeringFeature PlatformsSageMakerVertex AIDatabricksKubernetesJenkinsGitOpsTerraform
LeadershipCross-functional collaborationStrategic thinkingMentoringCommunicationExecutive communicationTeam managementProblem-solvingDecision making
Industry Aerospace
Job Function Lead the design, development, and governance of enterprise GenAI/ML platforms to deliver scalable AI solutions.
Role Subtype Platform Engineer
Tech Domains Kubernetes, Jenkins, GitOps, Terraform, MLflow, Amazon Web Services, Google Cloud Platform, Databricks, SageMaker, Vertex AI, Kafka, Delta Lake, Spark
senior managerai platform engineeringgenaillmsrag pipelinesmlopsplatform strategyllm integrationopenaianthropichugging facelangchainagentic aimLOpskservesageMakervertex aidatabrickskubernetesterraformmlflowsagemakerplatform engineerai governanceGenAILLMsMLOpsRAG pipelinesKServeSageMakerVertex AIDatabricksKubernetesTerraform

Bachelor's degree in a relevant field, 5+ years leading product or technical teams, 2+ years Gen AI experience

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