✦ Luna Orbit — AI & Machine Learning

Distinguished Engineer - AI Infrastructure Architecture

at Cisco Systems

Hybrid 💰 $267K – $339K USD / year Posted March 13, 2026
Salary $267K – $339K USD / year
Type Not Specified
Experience senior
Exp. Years 8+ years
Education Bachelor's in Computer Science (or equivalent) with 15+ years of related experience; or Master's with 12+ years; or PhD with 8+ years or equivalent experience
Category AI & Machine Learning

This role involves architecting and operationalizing AI infrastructure to enable deployment of large-scale AI and ML models, focusing on LLMs, model serving, and MLOps within Cisco Data Fabric.

  • Design and deploy AI/ML infrastructure
  • Build data pipelines and MLOps platforms
  • Manage model lifecycle including migration and updates
  • Optimize inference latency and performance
  • Drive AI opportunities across the stack

The technical environment includes AI/ML infrastructure, cloud platforms like AWS, Azure, GCP, and tools for model orchestration, deployment, and monitoring, emphasizing scalable AI solutions.

The ideal candidate is a senior AI/ML infrastructure engineer with extensive experience deploying AI and ML features in cloud environments, particularly with large language models and MLOps platforms. They excel in designing scalable, operational AI systems and have a strong background in cloud services like AWS, Azure, and GCP.

Designed and deployed AI/ML infrastructure and features in production cloud environmentsExperience with major AI services including OpenAIAnthropicHuggingFaceAWS BedrockAzure OpenAI ServiceProduction experience with AWSAzureor GCP cloud platformLed technical decisions and architectural direction
LLM-specific infrastructurePrompt managementTool integrationModel serving at scaleInference optimizationPerformance monitoringML frameworks like TensorFlowPyTorch
AWSAmazon Web ServicesAzureGCPHuggingFaceOpenAIAnthropicAWS BedrockAzure OpenAI Service
AI infrastructureML infrastructureAI/MLLarge Language ModelsLLMsModel servingInference optimizationTensorFlowPyTorchOpenAIAnthropicHuggingFaceAWS BedrockAzure OpenAI ServiceModel orchestrationData pipelinesMLOps platformsModel migrationVersion compatibilityModel updatesMonitoringGovernanceDeployment
AI infrastructureML infrastructureAI/MLMLLarge Language ModelsLLMsModel servingInference optimizationModel formatsTensorFlowPyTorchOpenAIAnthropicHuggingFaceAWS BedrockAzure OpenAI ServiceModel orchestrationData pipelinesMLOps platformsModel migrationVersion compatibilityModel updatesMonitoringGovernanceDeployment
CollaborationProblem-solvingInnovationTeamworkCommunication
Industry SaaS / Cloud AI Platforms
Job Function Developing scalable AI/ML infrastructure and deploying large language models in cloud environments
AI infrastructureML infrastructureAI/MLLarge Language ModelsLLMsModel servingInference optimizationTensorFlowPyTorchOpenAIAnthropicHuggingFaceAWS BedrockAzure OpenAI ServiceModel orchestrationData pipelinesMLOps platformsModel migrationVersion compatibilityModel updatesMonitoringGovernanceDeploymentAWSAzureGCPMLOps

Lack of experience with AI/ML infrastructure, No cloud platform experience, Less than 8 years of relevant experience

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