Lead ML Engineer: Architect Scalable Legal AI

LexisNexis Risk Solutions; Raleigh (NC); Hybrid; USD 115,000 - 192,000; Full time

Job summary

LexisNexis Risk Solutions in Raleigh, NC seeks a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures for next‑gen legal research and analytics products.

You will lead a team of 4-5 ML engineers, drive platform decisions, ensure enterprise-grade scalability, and uphold responsible AI standards while collaborating with product, data science, and engineering teams.

Qualifications

• 8-10 years of Machine Learning/Software Engineer experience.
• 2-3 years of people management experience.
• Master’s degree or bachelor’s degree, computer science degree is highly desirable.
• Strong software engineering background with experience in building system design, architecting AI features/products for large user bases and unstructured data.
• Experience with ML deployment to production.

Responsibilities

• Lead, mentor, and grow a team of ML engineers.
• Provide architectural direction and code-level guidance for ML systems.
• Establish engineering best practices for ML design, testing, and deployment.
• Architect distributed ML systems serving multiple global products and ensure guardrails and traceability.

Skills

Machine Learning

Software Engineering

Team Leadership

Distributed Systems

Education

Master’s or Bachelor’s in CS

Tools

CI/CD

Job description

LexisNexis Risk Solutions in Raleigh, NC seeks a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures for next‑gen legal research and analytics products.

You will lead a team of 4-5 ML engineers, drive platform decisions, ensure enterprise-grade scalability, and uphold responsible AI standards while collaborating with product, data science, and engineering teams.