Would you like to be part of a team that delivers high-quality software to our customers?
Do you enjoy ensuring the quality of software products delivered?
About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.
Key Responsibilities
Technical Leadership
- Lead end-to-end development of advanced AI models (e.g.,LLM, NLP, classification, regression, deep learning).
- Architect scalable model pipelines and data workflows in cloud-based environments.
- Establish best practices in model validation, explainability, fairness, and governance.
- Conduct rigorous experimentation, A/B testing, and performance monitoring.
- Drive research into emerging AI techniques and evaluate applicability to LexisNexis products.
Product & Business Impact
- Partner with Product, Engineering, and Business stakeholders to translate requirements into analytical solutions.
- Identify opportunities to enhance risk scoring, entity resolution, legal analytics, fraud detection, compliance monitoring, or related product areas.
- Present insights and recommendations to senior leadership and non-technical audiences.
- Ensure models meet regulatory, compliance, and ethical AI standards.
Data & Platform Excellence
- Work with structured and unstructured data, including legal texts, transactional data, and graph-based datasets.
- Collaborate on data engineering strategies to ensure high-quality, scalable datasets.
- Optimize model performance for production deployment.
- Implement monitoring frameworks to ensure model robustness and stability.
Mentorship & Influence
- Mentor and coach junior and mid-level data scientists.
- Lead code reviews and promote reproducible research practices.
- Contribute to strategic roadmap planning for data science initiatives.
- Act as a subject matter expert in advanced analytics within the organization.
Required Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or a related quantitative field.
- 8+ years of progressive experience in data science, applied machine learning, or AI engineering roles, with demonstrated ownership of production-grade systems.
- 3+ years of hands-on experience designing and deploying LLM-based systems or advanced NLP solutions within enterprise-scale products.
- Strong programming proficiency in Python and deep experience with modern ML/NLP frameworks and tooling.
- Demonstrated technical expertise in:
- Deep understanding of LLM capabilities, limitations, and mitigation strategies across commercial (e.g., OpenAI, Anthropic) and open-source models
- Design and implementation of Retrieval-Augmented Generation (RAG) architectures
- Agent orchestration frameworks and multi-step tool-using agents
- Prompt engineering, systematic prompt evaluation, and optimization methodologies
- Embedding models, vector databases, and semantic retrieval techniques
- Strong understanding of model evaluation methodologies
- Proven experience deploying, monitoring, and optimizing AI systems in cloud environments (AWS, Azure, or GCP).
- Strong written and verbal communication skills in English, with the ability to effectively collaborate across global teams.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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We are an equal opportunity employer: 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.
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Skills Required
- Master's or PhD in Computer Science, AI, ML, NLP, or related quantitative field.
- 8+ years progressive experience in data science, applied machine learning, or AI engineering with production-grade ownership.
- 3+ years hands-on experience designing and deploying LLM-based systems or advanced NLP solutions in enterprise-scale products.
- Strong programming proficiency in Python.
- Deep experience with modern ML/NLP frameworks and tooling.
- Deep understanding of LLM capabilities, limitations, and mitigation strategies across commercial and open-source models.
- Design and implementation experience with Retrieval-Augmented Generation (RAG) architectures.
- Experience with agent orchestration frameworks and multi-step tool-using agents.
- Expertise in prompt engineering, systematic prompt evaluation, and optimization methodologies.
- Experience with embedding models, vector databases, and semantic retrieval techniques.
- Strong understanding of model evaluation methodologies, validation, explainability, fairness, and governance.
- Proven experience deploying, monitoring, and optimizing AI systems in cloud environments (AWS, Azure, or GCP).
- Strong written and verbal communication skills in English.
LexisNexis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about LexisNexis and has not been reviewed or approved by LexisNexis.
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Healthcare Strength — Healthcare options are often described as comprehensive, spanning medical, dental, and vision coverage alongside life and disability protection. Wellbeing programming such as wellness initiatives and fitness support is also positioned as part of the overall package.
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Retirement Support — Retirement benefits are repeatedly framed as a meaningful component of total rewards through 401(k) matching and access to stock purchase opportunities. Performance bonuses and charitable matching are also included as financial-support features within the broader rewards mix.
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Leave & Time Off Breadth — Time-off offerings are portrayed as broad, including PTO, paid holidays, sick leave, and paid volunteer time. Flexible work arrangements, including remote options and flexible hours, further strengthen the overall rewards experience.
LexisNexis Insights
What We Do
LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. We help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. We assist corporations in better understanding their markets, monitoring their brands and competition, and in mitigating business risk. We collaborate with universities to educate students, and we support nation-building with governments and courts by making laws accessible and strengthening legal infrastructures. We partner with leading global associations and customers to collect evidence against war criminals and provide tools to combat human trafficking. LexisNexis Legal & Professional, which serves customers in more than 130 countries with 10,000 employees worldwide, is part of RELX Group, a global provider of information and analytics for professional and business customers across industries.
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