This job is with Cornerstone OnDemand, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
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.
In this role you will...
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.
You have what it takes if you 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.
An extra dose of awesome if...
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.
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