Senior AI Scientist: Generative AI, RAG & Agentic Systems

LexisNexis; Raleigh (NC); On-site; USD 120,000 - 180,000; Full time

Job summary

LexisNexis is seeking a Senior Data Scientist II with deep expertise in Generative AI, Retrieval-Augmented Generation (RAG), and agentic AI systems, focused on improving LLM-powered drafting and retrieval solutions through advanced search, embeddings, reranking, evaluation, and production-grade ML components.

The successful candidate must independently design, refactor, test, review, deploy, and support clean, reliable Python applications.

Qualifications

• Advanced Python proficiency demonstrated through designing, implementing, debugging, testing, reviewing, and refactoring production applications.
• Strong command of Python fundamentals, data structures, algorithms, OOP and functional design, type annotations, and complexity analysis.
• Experience transforming prototype/experimental code into modular, maintainable, production-ready systems.
• Knowledge of production software design principles and clean interface design.

Responsibilities

• Architect modular agentic applications with separation among retrieval, prompt construction, model invocation, tool execution, state/history management, orchestration, validation, and response formatting.
• Refactor complex or legacy Python code to improve correctness, readability, modularity, extensibility, testability, and runtime performance.
• Own production readiness for AI components, including input validation, exception handling, timeouts, retries with backoff, fallback behavior, config management, and secure credentials handling.
• Establish observability for LLM and retrieval workflows via structured logging, metrics, tracing, alerting, and actionable error reporting.
• Design clear interfaces between retrieval, orchestration, model, and downstream components.
• Write comprehensive tests (unit, integration, regression, end-to-end) including failure modes and degraded conditions.
• Review code for correctness, maintainability, performance, security, testing, and operational risks.

Skills

Python

LLM & Retrieval

Agentic AI

Production-grade ML

Software architecture

Testing & observability

OpenSearch

Solr

Tools

OpenSearch

Solr

Job description

LexisNexis is seeking a Senior Data Scientist II with deep expertise in Generative AI, Retrieval-Augmented Generation (RAG), and agentic AI systems, focused on improving LLM-powered drafting and retrieval solutions through advanced search, embeddings, reranking, evaluation, and production-grade ML components.

The successful candidate must independently design, refactor, test, review, deploy, and support clean, reliable Python applications.