Principal AI & Machine Learning Engineer - Hybrid
Core
Lead the integration of AI into enterprise workflows and analytics processes to improve productivity, insight generation, and decision support within the Data Analytics & Research division.
Role type
Principal AI & Machine Learning Engineer (Hybrid)
Builds
Production-ready AI/ML systems, LLM-powered applications, and enterprise-grade data pipelines.
Domain
Higher education data analytics, enterprise AI, and operational workflows.
Deliverable
production ML models
Required skills
Applied machine learning, LLM integration, R, Python, SQL, cloud data platforms (Databricks, Snowflake, BigQuery), AI governance, prompt engineering, RAG, agent orchestration, supervised/unsupervised learning, NLP, system architecture, mentorship.
Preferred skills
Masters or doctoral degree, AI/ML or cloud certifications, agentic AI frameworks, Databricks AI features, causal inference, program evaluation.
Technologies
PyTorch, TensorFlow, AWS, MLflow, Maven, RAG, Agentic AI
Responsibilities
Lead AI integration into enterprise workflows; develop production-ready AI/ML initiatives; partner with Data Engineering and Governance to ensure scalability and compliance; set standards for AI development; mentor teammates in applied AI techniques.
Seniority
Principal, hands-on IC with strategic authority
