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About the Role

Lead the development of AI-powered legal solutions that help professionals draft, reason, and work more effectively with complex legal information. This role focuses on improving LLM-powered drafting and retrieval solutions through advanced search, embeddings, reranking, evaluation, and production-grade ML components, driving strategy, technical execution, and team growth to build next-generation legal assistants.

Responsibilities

Define the roadmap for applying LLMs and agentic AI to real-world legal drafting.
Evangelize and embed AI-driven change across legal product platforms.
Translate evolving generative AI capabilities into tangible customer value within the legal domain.
Architect systems that combine foundation models with RAG pipelines to draft contracts, memos, and pleadings grounded in enterprise knowledge.
Guide the development of AI agents that perform multi-step reasoning, cite evidence, retrieve domain-specific content, and produce compliant outputs.
Mentor and grow a multidisciplinary team of LLM-focused Data Scientists and ML Engineers.
Drive cross-functional collaboration with Legal SMEs, Data Engineers, Product Managers, and Design.
Establish best practices for evaluation, observability, and responsible use of generative AI.

Requirements

Previous people management experience (3+ years) of teams building LLM-based applications, especially in domains requiring rigor and traceability like legal, finance, or compliance.
Hands-on experience delivering systems using LangChain, LLM agent frameworks, vector databases, and prompt orchestration pipelines.
Strong background in deploying retrieval-augmented generation (RAG) systems for grounded and auditable responses.
Demonstrated success in taking LLM-powered applications from prototype to production.
Proficient with Python and LLM tooling: LangChain, HuggingFace Transformers, OpenAI APIs, and prompt tuning techniques.
Familiarity with vector databases (e.g., Solr, Elasticsearch, Qdrant, Weaviate), knowledge graphs, and hybrid retrieval architectures.
Working knowledge of containerization (Docker, Kubernetes), CI/CD, and model serving tools (TorchServe, Triton, Ray Serve).
Cloud infrastructure experience on AWS, Azure, or GCP.
Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience.
6 years of post-degree experience, with 3+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems.
Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable.
Familiarity with ethical/legal considerations in deploying generative AI in professional settings.

Skills

Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Agentic AI
Python
LangChain
HuggingFace Transformers
OpenAI APIs
Prompt tuning
Vector databases
Knowledge graphs
Hybrid retrieval architectures
Docker
Kubernetes
CI/CD
Model serving tools
AWS
Azure
GCP
NLP

Location

Work Type

Flexible hours

Experience Level

3+ years people management
6 years post-degree experience
3+ years data science or applied AI leadership

Education Level

Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience

Salary/Compensations

$115,400 - $192,300
Eligible for an annual incentive bonus

Benefits

Appealing working prospect
Numerous wellbeing initiatives
Shared parental leave
Study assistance
Sabbaticals
Country specific benefits

About the Company

LexisNexis Legal & Professional serves customers in more than 150 countries with 11,800 employees worldwide, and is part of RELX.
A global provider of information-based analytics and decision tools for professional and business customers.
A long-time leader in deploying AI and advanced technologies to the legal market.
Employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles.
Redefining legal intelligence through advanced AI, harnessing LLMs, RAG, and agentic systems.
Provides legal, regulatory, and business information and analytics that help customers increase productivity, improve decision-making, achieve better outcomes, and advance the rule of law.

Equal Opportunity

Qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.