✦ Luna Orbit — AI & Machine Learning

Principal AI Engineer - United States

at Cornerstone OnDemand

📍 Remote, US Remote 💰 $151K – $241K USD / year Posted March 11, 2026
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Position Details

Salary $151K – $241K USD / year
Type Full-Time
Experience lead
Exp. Years 8–10 years
Category AI & Machine Learning

About this role

Principal AI Engineer will design, build, and scale AI-driven systems across Cornerstone's product platforms. The role requires deep backend and cloud fundamentals, Java and AWS expertise, and hands-on work integrating Generative AI into production products.

Key Responsibilities

  • AI Engineering & System Design
  • Cloud & Platform Engineering (AWS – Must Have)
  • Data & Distributed Systems
  • Technical Leadership & Impact
  • Collaboration with Product, Data, UX, Security, and DevOps

Technical Overview

Role centers on AI engineering and system design, cloud and platform engineering on AWS (EC2, S3, RDS, Lambda, EKS), containerization (Docker, Kubernetes), and data pipelines supporting feature engineering, RAG, and vector search. Emphasis on API-first services (REST & GraphQL) with observability and model orchestration.

Ideal Candidate

The ideal candidate is a senior principal AI engineer with 8+ years of hands-on software experience, strong Java backend expertise, and deep AWS/cloud experience. They should have a track record delivering AI-powered applications at scale, integrating LLM capabilities, and leading multi-team initiatives with a focus on scalable, observable systems.

Must-Have Skills

8–10 years of hands-on software engineering experienceJavaAmazon Web ServicesAWSSQL and NoSQL databasesRESTGraphQLAPI-first architecturesDockerKubernetes (EKS)3+ years of experience building AI-powered applicationsLLM-based systemsRetrieval-Augmented Generation (RAG)vector searchfeature engineeringTerraformAWS CDKJava backendObservability

Nice-to-Have Skills

Generative AI platforms and frameworks (AWS BedrockOpenAI APIsLangChainLlamaIndex)vector databases and semantic searchMLOps practicesmodel monitoring and evaluation frameworksexperience in agile environments

Tools & Platforms

JavaAmazon Web ServicesDockerKubernetes (EKS)RESTGraphQLTerraformAWS CDKAWS BedrockOpenAI APIs

Required Skills

8–10 years of hands-on software engineering experienceJavaAmazon Web ServicesAWSSQL and NoSQL databasesRESTGraphQLAPI-first architecturesDockerKubernetes (EKS)3+ years AI-powered applicationsLLM-based systemsRetrieval-Augmented Generation (RAG)vector searchfeature engineeringTerraformAWS CDKJava backendObservability

Hard Skills

JavaAmazon Web ServicesAWSSQL and NoSQL databasesRESTGraphQLAPI-first architecturesDockerKubernetes (EKS)3+ years of experience building AI-powered applicationsLLM-based systemsRetrieval-Augmented Generation (RAG)vector searchfeature engineeringTerraformAWS CDKJava backendObservabilityRESTGraphQLCloud-nativeJava-based backend systems

Soft Skills

LeadershipCommunicationCollaborationProblem-solvingOwnershipMentoringTeamworkStrategic thinking

Industry & Role

Industry SaaS
Job Function Lead end-to-end design, build, and scaling of AI-enabled backend systems on AWS to deliver high-impact AI capabilities.
Role Subtype Principal AI Engineer
Tech Domains Java, Amazon Web Services, Google Cloud Platform, Kubernetes, Docker, Linux, Python, SQL / PostgreSQL, Cybersecurity, Cloud Computing

Keywords for Your Resume

Principal AI EngineerRemoteJavaAmazon Web ServicesAWSRESTGraphQLAPI-first architecturesLLMRetrieval-Augmented GenerationRAGvector searchfeature engineeringDockerKubernetes (EKS)TerraformAWS CDKSQLNoSQLObservabilityAI-powered applicationsGenerative AIJava backendCloud-native

Deal Breakers

8–10 years of hands-on software engineering experience, Must have Java and AWS experience, Must be able to work remotely within the United States

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