Senior ML Architect — Scalable Enterprise AI Systems

RELX; Raleigh (NC); On-site; USD 136,100 - 252,800; Full time

Benefits offered by this job

Country-specific benefits

Job summary

LexisNexis Legal & Professional in Raleigh, NC, seeks a Principal Machine Learning Engineer to design, build, and operate scalable AI/ML systems and agentic architectures that support next‑generation legal research and analytics.

You will provide architectural direction, establish ML deployment practices, and lead multi‑product distributed systems, LLM serving, RAG pipelines, and enterprise‑grade AI guardrails across global teams.

Qualifications

• 10+ years of Machine Learning/Software Engineer experience.
• Master’s degree or Bachelor's degree in Computer Science.
• Experience building system design and AI feature/products for large-scale unstructured data.
• Experience deploying ML models to production.

Responsibilities

• 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.

Skills

Machine Learning

Software Engineering

Distributed Systems

Leadership

AI Platform

Education

Bachelor's or Master's degree in Computer Science

Job description

LexisNexis Legal & Professional in Raleigh, NC, seeks a Principal Machine Learning Engineer to design, build, and operate scalable AI/ML systems and agentic architectures that support next‑generation legal research and analytics.

You will provide architectural direction, establish ML deployment practices, and lead multi‑product distributed systems, LLM serving, RAG pipelines, and enterprise‑grade AI guardrails across global teams.