About this role
Principal AI Engineer
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…
- Full-Stack AI Engineering: Lead the hands-on development, deployment, and continuous improvement of sophisticated AI-driven features, leveraging Agile practices and top-tier coding standards.
- 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.
- ML Model Innovation: Expertly design, build, and tune production AI/ML models (NLP, Deep Learning, Recommender Systems, LLMs, Generative AI) using cutting-edge frameworks (TensorFlow, PyTorch, Hugging Face, Keras, Scikit-Learn, Ray).
- Cloud & Data Engineering Mastery: Develop and optimize cloud-native (AWS, GCP, Azure) AI workloads—utilizing Kubernetes, Docker, Spark, and high-performance data lakes for advanced data wrangling, batch and real-time inference, and model monitoring.
- Agentic & Generative AI Technologies: Design and deploy intelligent, autonomous AI agents (LLMs, multi-agent systems) capable of planning, reasoning, and decision-making—solving complex HR and talent management challenges with next-gen AI.
- Orchestration & Tooling: Build frameworks for multi-agent orchestration, message passing, prompt engineering, vector databases (FAISS, Pinecone), and scalable knowledge graphs to enable robust agent collaboration and negotiation.
- Task Automation & Workflow AI: Develop specialized AI agents for process automation—streamlining content generation, personalized recommendations, and end-to-end workflow optimization using RPA and conversational AI.
- Safety, Reliability, & Explainability: Set gold standards for AI safety, fairness, and explainability—implementing evaluation protocols, guardrails, and bias detection to ensure ethical agent behavior in real-world deploym