Principal Machine Learning Engineer I

LexisNexis is seeking a Principal Machine Learning Engineer to design, build, and operate scalable AI/ML systems for next-generation legal research and analytics products. The role involves developing LLM infrastructure, RAG pipelines, and autonomous agent frameworks to handle complex unstructured data. Responsibilities include architectural direction, establishing engineering best practices, and ensuring compliance with responsible AI standards.

• Provide architectural direction and code-level guidance.
• Establish engineering best practices for ML system design, testing, and deployment.
• Conduct design reviews, performance reviews, and technical roadmap planning.
• Architect distributed ML systems serving multiple global products.
• Standardize infrastructure patterns for LLM serving and retrieval systems.
• Define and implement enterprise-ready agentic frameworks.
• Architect multi-step reasoning systems.
• Lead decisions on deterministic workflows vs. autonomous agents.
• Implement guardrails, safety layers, and traceability mechanisms.
• Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.
• Establish CI/CD standards for ML lifecycle management.
• Ensure compliance with enterprise data governance and responsible AI standards.