Senior Principal Al Engineer
Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Sep 10, 2026. Cornerstone OnDemand scores B on the Alion truth index.
About Cornerstone: Cornerstone powers the future-ready workforce with modern, AI-driven employment solutions. Our platform enables companies to develop, manage, and engage their talent-unlocking growth and innovation across organizations of all sizes. Who We’re Looking For: Cornerstone is seeking a visionary and highly accomplished Distinguished Principal AI Engineer to spearhead the creation of groundbreaking AI and machine learning solutions across our industry-leading workforce agility - Galaxy ecosystem.
This is a rare opportunity for a true innovator-someone who thrives on architecting and hands-on building intelligent, autonomous systems at massive scale. You’ll be driving the future of workforce technology by delivering AI-powered applications that are robust, secure, ethical, and brilliantly performant. In this role you will… Advanced Architecture System Design: Architect, implement, and scale modern, distributed AI systems-including training pipelines, streaming data processing, serverless microservices, and MLOps infrastructure-to deliver enterprise-grade reliability and security.
Lead end-to-end technical delivery of AI Native Products -owning E2E architecture/design and hands-on engineering excellence from design through deployment, scaling, and continuous improvement. Lead E2E architecture for AI native SaaS Products -distributed systems, APIs, integrations, security, and reliability. Drive hands-on software engineering across the full lifecycle (design, build, deploy, optimize) with strong engineering fundamentals.
Architect and scale modern distributed architectures (serverless/microservices, Kubernetes, Docker) and data/compute workflows. Build production-grade AI/ML capabilities (LLMs/GenAI, NLP, recommenders) with MLOps-grade reliability and monitoring. Design end-to-end streaming + batch data pipelines (ETL, Spark, data lakes) and scalable inference patterns- Deliver agentic/LLM workflows (orchestration, tools, vector search, knowledge graphs) with robust integration to enterprise systems.
Set standards for AI safety, fairness, explainability, privacy, and compliance. Own CI/CD, DevSecOps, and GitOps practices to ensure secure, repeatable, enterprise deployments. Mentor teams through architecture reviews, best practices, and engineering excellence-driving responsible engineering across SDLC.
You’ve got what it takes if you have… 12+ years of software engineering with proven ownership in product engineering, architecture operational excellence. Deep expertise in engineering fundamentals (system design, distributed systems, data/compute architecture, scalability, security). Strong hands-on experience leading complex architecture and delivery for enterprise platforms.
Proven experience with cloud (AWS/Azure/GCP), Kubernetes/Docker, and modern API/service design. Strong background in ML/LLM/GenAI systems delivery or architecting AI-enabled solutions with production-grade MLOps practices. Experience with CI/CD, GitOps, DevSecOps, and enterprise security practices- Strong understanding of responsible AI (privacy, bias, explainability) and real-world deployment constraints.
HR tech/SaaS/enterprise domain experience is a plus. #LI-Onsite