Position Overview
Job Description
Day to Day:
Designing and owning the architecture for enterprise AI platforms used across multiple LexisNexis products
Building and scaling LLM‑powered systems (including RAG pipelines) that support legal research and decision‑making tools
Designing agentic AI workflows where models reason, call tools/APIs, and execute multi‑step tasks
Creating high‑availability, low‑latency inference systems for global, enterprise users
Establishing platform standards for model deployment, monitoring, evaluation, and reliability
Defining guardrails, permissions, and auditability for AI systems in a regulated legal environment
Working closely with product, platform, and engineering teams to ensure AI systems are reusable and scalable
Mentoring senior engineers and influencing technical direction across teams
Ensuring Responsible AI principles are embedded into system design (safety, reliability, governance)
We are a company committed to creating di...