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.
Cornerstone OnDemand is seeking a
Senior AI Engineer
to build
AI-native products
within our
Workforce AI
product line. This role is designed for an engineer who builds systems with
artificial intelligence at the core , not as an add-on-owning architecture, prompt engineering, model integration, and production-scale delivery.
You will work closely with Product, UX, and Platform Engineering teams to deliver scalable, trustworthy AI capabilities that power Cornerstone's workforce intelligence solutions.
In this role, you will...
AI-Native Product Development
Design and implement
AI-first architectures , where machine learning and generative AI are foundational system components.
Build and productionize
ML and Generative AI workflows , including prompt engineering, retrieval-augmented generation (RAG), evaluation, and iteration.
Develop end-to-end AI features, from
data ingestion and feature engineering
to inference and feedback loops.
Partner with Product and UX teams to shape
AI-driven user experiences , ensuring usability, explainability, and trust.
Prompt Engineering & Optimization
Design, develop, and optimize
prompt strategies
for large language models to ensure accuracy, consistency, and relevance in production use cases.
Implement
prompt versioning, experimentation, and A/B testing
to support rapid iteration and data-driven improvements.
Continuously evaluate and refine prompts using
offline evaluation, automated testing, and live telemetry
to reduce hallucinations and improve output quality.
Optimize prompt and model usage to balance
response quality, latency, and cost efficiency
at scale.
Collaborate with UX and Product to align prompt behavior with
user intent, tone, and experience expectations .
Engineering & Platform Excellence
Develop scalable backend services using
Java and/or Python , deployed in
AWS cloud environments .
Design and optimize
API-driven architectures
that integrate AI services securely and reliably across the platform.
Work with
SQL and NoSQL databases
to support transactional and analytical workloads.
Apply strong engineering fundamentals around
performance, reliability, observability, and security .
Contribute to architectural decisions that ensure long-term scalability and maintainability.
Leadership & Collaboration
Provide technical leadership in AI and system design discussions.
Mentor engineers and help raise the overall AI and engineering maturity of the team.
Collaborate cross-functionally with Data Science, Platform, UX, DevOps, and Security teams.
Influence technical roadmaps and align AI capabilities with Workforce AI product goals.
You have what it takes if you have
8-10 years
of professional software engineering experience.
Strong hands-on experience with
Java and/or Python .
Proven experience delivering
AI/ML or Generative AI systems in production .
Hands-on expertise in
prompt engineering and prompt optimization
for LLM-powered applications.
Solid experience with
AWS
and cloud-native system design.
Strong working knowledge of
SQL and NoSQL databases .
Ability to design systems that balance
AI quality, scalability, latency, and cost .
Extra dose of awesome if you have...
Experience with
LLMs , RAG architectures, vector databases, and structured output enforcement.
Familiarity with