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 MLOps practices (model versioning, monitoring, evaluation).
- Experience designing AI-powered user experiences in partnership with UX teams.
- Background in enterprise SaaS or workforce/HR technology.
- Experience taking AI products from concept to production.
