5 months ago
Raleigh, NC, USAStaff+
Base Salary
$136k - $253k/yr
Responsibilities
- Provide architectural direction and code-level guidance for ML and AI systems.
- Architect distributed ML systems serving multiple global products.
- Standardize infrastructure patterns for LLM serving and retrieval systems.
- Define enterprise-ready agentic frameworks and architect multi-step reasoning systems.
- Lead decisions between deterministic workflows and autonomous agents.
- Implement guardrails, safety layers, and traceability mechanisms.
- Develop evaluation frameworks for reasoning quality, hallucination rates, and reliability.
- Establish engineering, testing, deployment, CI/CD, data governance, and responsible AI standards.
Requirements
- 10+ years of machine learning or software engineering experience.
- Bachelor's or master's degree; a computer science degree is highly desirable.
- Strong software engineering background with experience in system design and architecting AI features or products for large user populations and large volumes of unstructured data.
- Experience deploying machine learning systems to production.
Benefits
- U.S. national base pay range of $136,100-$252,800, with geographic differentials potentially applying.
- Eligible for an annual incentive bonus.
- Country-specific benefits are offered, with accommodations available during the hiring process.
Categories
About RELX
RELX provides information-based analytics, research content, and decision tools for scientists, legal and risk professionals, insurers, and governments. Through segments including Elsevier (STM), LexisNexis (legal and risk), and RX (exhibitions), it sells subscriptions, data services, and software platforms used in 180+ countries. Headquartered in London, it is a public company listed in London and Amsterdam.