Senior AI Engineer — Java & AWS, Hybrid Dublin

Principal AI Engineer

Hybrid, Dublin Office

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.

• 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 & Graph
  
  QL) 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.

• 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.

• Design and operate relational (SQL) and No
  
  SQL 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.

• 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 Dev Ops teams to deliver AI‑driven product capabilities.

• 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 No
  
  SQL databases in production environments.
• 3+ years of experience building AI‑powered applications, including ML or LLM‑based systems.
• Experience with API‑first architectures (REST, Graph
  
  QL).
• Hands‑on experience with Docker and Kubernetes (EKS).
• Strong problem‑solving skills and ability to own systems end‑to‑end.

• Experience with generative AI platforms and frameworks (AWS Bedrock, OpenAI APIs, Lang Chain, Llama Index).
• Experience with vector databases and semantic search.
• Familiarity with MLOps practices, model monitoring, and evaluation frameworks.
• Experience working in product‑driven, agile environments.

The BASE salary range for this position is 151,200 – 241,900 USD.

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, religion, color, gender, sex, age, sexual orientation, gender identity, 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  or +1 855 454 8433.

Read the EEO is the Law poster, and the supplementary poster. Read the Pay Transparency Nondiscrimination Provision poster.