Job Details
Principal AI Engineer - United States
**Job Title :** Principal AI Engineer
**Location :** Dublin, CA
**Years of Experience :** 8-10 years of hands-on software engineering experience, including building and scaling AI-powered systems in production
**Position Overview**
We are seeking a **Principal AI Engineer** to design, build, and scale AI-driven systems across our product platforms. This role is ideal for a deeply technical engineer who leads through hands-on contribution, solves complex problems, and drives the adoption of AI into real-world products.
The ideal candidate brings **strong backend and cloud fundamentals, mandatory experience with Java and AWS,** and proven experience integrating **AI and Generative AI capabilities** into production systems. You will work closely with product, architecture, and engineering teams to deliver reliable, scalable, AI-enabled solutions that create meaningful business impact.
**Key Responsibilities**
**AI Engineering & System Design**
- Design, build, and operate **AI-powered applications,** including LLM-based services, ML-driven workflows, and intelligent automation.
- Integrate AI capabilities into **Java-based backend systems** and cloud-native platforms.
- Design scalable **API-first services** (REST & GraphQL) exposing AI capabilities across products.
- Implement data pipelines supporting **feature engineering, retrieval-augmented generation (RAG), vector search, and inference.**
- Apply best practices for **prompt design, model orchestration, evaluation, and observability.**
**Cloud & Platform Engineering (AWS - Must Have)**
- Build and operate **cloud-native AI systems on AWS,** including EC2, S3, RDS, Lambda, and EKS.
- Design containerized workloads using **Docker and Kubernetes (EKS)** .
- Optimize systems for **scalability, latency, reliability, and cost efficiency** .
- Implement Infrastructure as Code using **Terraform or AWS CDK** .
**Data & Distributed Systems**
- Design and operate **relational (SQL) and NoSQL** data stores for high-scale, distributed systems.
- Make informed trade-offs around data consistency, availability, and performance.
- Work with event-driven and asynchronous architectures where appropriate.
**Technical Leadership & Impact**
- Lead complex technical initiatives end-to-end, from design through production deployment.
- Influence system design and engineering standards across teams through design reviews and technical guidance.
- Mentor senior engineers and raise the overall bar for **AI and cloud engineering excellence** .
- Collaborate with Product, Data, UX, Security, and DevOps teams to deliver AI-driven product capabilities.
**Qualifications and Skills**
**Required (Must Have)**
- **8-10 years of hands-on software engineering experience** building large-scale, production systems.
- Strong, hands-on experience with **Java** in backend and distributed systems.
- **Mandatory, hands-on experience with AWS** , including designing and operating cloud-native workloads.
- Strong experience with **SQL and NoSQL databases** in production environments.
- **3+ years of experience building AI-powered applications** , including ML or LLM-based systems.
- Experience with **API-first architectures** (REST, GraphQL).
- Hands-on experience with **Docker and Kubernetes (EKS)** .
- Strong problem-solving skills and ability to own systems end-to-end.
**Nice to Have**
- Experience with **Generative AI platforms and frameworks** (AWS Bedrock, OpenAI APIs, LangChain, LlamaIndex).
- Experience with **vector databases and semantic search** .
- Familiarity with **MLOps practices** , model monitoring, and evaluation frameworks.
- Experience working in product-driven, agile environments.
**Leveling Guidance**
- **Senior AI Engineer** : Owns complex components and services; strong execution and technical depth.
- **Principal AI Engineer** : Owns multi-team technical initiatives; influences architecture and engineering standards across the organization.
**Why Join Us?**
- **Real AI Impact** : Build AI systems that ship, scale, and deliver customer value.
- **Hands-On Leadership** : Lead through deep technical contribution.
- **Modern Stack** : Java, AWS, Kubernetes (EKS), SQL/NoSQL, and Generative AI.
- **Collaboration** : Work with strong product, data, and engineering partners.
- **Core Values** : Be part of a company that lives by **Shattering Boundaries, Sparking Greatness, and Sharing Success** .
Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, color, gender, age, sexual orientation, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at careers@csod.com
**Location :** Dublin, CA
**Years of Experience :** 8-10 years of hands-on software engineering experience, including building and scaling AI-powered systems in production
**Position Overview**
We are seeking a **Principal AI Engineer** to design, build, and scale AI-driven systems across our product platforms. This role is ideal for a deeply technical engineer who leads through hands-on contribution, solves complex problems, and drives the adoption of AI into real-world products.
The ideal candidate brings **strong backend and cloud fundamentals, mandatory experience with Java and AWS,** and proven experience integrating **AI and Generative AI capabilities** into production systems. You will work closely with product, architecture, and engineering teams to deliver reliable, scalable, AI-enabled solutions that create meaningful business impact.
**Key Responsibilities**
**AI Engineering & System Design**
- Design, build, and operate **AI-powered applications,** including LLM-based services, ML-driven workflows, and intelligent automation.
- Integrate AI capabilities into **Java-based backend systems** and cloud-native platforms.
- Design scalable **API-first services** (REST & GraphQL) exposing AI capabilities across products.
- Implement data pipelines supporting **feature engineering, retrieval-augmented generation (RAG), vector search, and inference.**
- Apply best practices for **prompt design, model orchestration, evaluation, and observability.**
**Cloud & Platform Engineering (AWS - Must Have)**
- Build and operate **cloud-native AI systems on AWS,** including EC2, S3, RDS, Lambda, and EKS.
- Design containerized workloads using **Docker and Kubernetes (EKS)** .
- Optimize systems for **scalability, latency, reliability, and cost efficiency** .
- Implement Infrastructure as Code using **Terraform or AWS CDK** .
**Data & Distributed Systems**
- Design and operate **relational (SQL) and NoSQL** data stores for high-scale, distributed systems.
- Make informed trade-offs around data consistency, availability, and performance.
- Work with event-driven and asynchronous architectures where appropriate.
**Technical Leadership & Impact**
- Lead complex technical initiatives end-to-end, from design through production deployment.
- Influence system design and engineering standards across teams through design reviews and technical guidance.
- Mentor senior engineers and raise the overall bar for **AI and cloud engineering excellence** .
- Collaborate with Product, Data, UX, Security, and DevOps teams to deliver AI-driven product capabilities.
**Qualifications and Skills**
**Required (Must Have)**
- **8-10 years of hands-on software engineering experience** building large-scale, production systems.
- Strong, hands-on experience with **Java** in backend and distributed systems.
- **Mandatory, hands-on experience with AWS** , including designing and operating cloud-native workloads.
- Strong experience with **SQL and NoSQL databases** in production environments.
- **3+ years of experience building AI-powered applications** , including ML or LLM-based systems.
- Experience with **API-first architectures** (REST, GraphQL).
- Hands-on experience with **Docker and Kubernetes (EKS)** .
- Strong problem-solving skills and ability to own systems end-to-end.
**Nice to Have**
- Experience with **Generative AI platforms and frameworks** (AWS Bedrock, OpenAI APIs, LangChain, LlamaIndex).
- Experience with **vector databases and semantic search** .
- Familiarity with **MLOps practices** , model monitoring, and evaluation frameworks.
- Experience working in product-driven, agile environments.
**Leveling Guidance**
- **Senior AI Engineer** : Owns complex components and services; strong execution and technical depth.
- **Principal AI Engineer** : Owns multi-team technical initiatives; influences architecture and engineering standards across the organization.
**Why Join Us?**
- **Real AI Impact** : Build AI systems that ship, scale, and deliver customer value.
- **Hands-On Leadership** : Lead through deep technical contribution.
- **Modern Stack** : Java, AWS, Kubernetes (EKS), SQL/NoSQL, and Generative AI.
- **Collaboration** : Work with strong product, data, and engineering partners.
- **Core Values** : Be part of a company that lives by **Shattering Boundaries, Sparking Greatness, and Sharing Success** .
Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, color, gender, age, sexual orientation, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at careers@csod.com
Job #NLX289964122