Consulting/Principal Software Engineer (Python)

Are you a champion for continuous improvement?
 

Do you love collaborating with teams to solve complex technical problems in the field of employer-employee relations?
 

About our Team
 

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case.

About the Role
 

The Principal Software Engineer role performs complex research, design, and software development assignments within a software functional area or product line. Provides direct input to project plans, schedules, and methodologies in the development of cross-functional software products. This SWE performs software design — typically across multiple systems; mentors more-junior members of the team; and talks to users/customers and translates their requests into solutions.

This role will also act as a technical leader in designing AI-driven solutions, including systems leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures, particularly in client-facing and consulting engagements.

*****Conditions of Employment - Ability to work a Hybrid schedule reporting to Raleigh, NC Office location*************

Requirements

• 10+ years of proven experience as a Principal Software Engineer or similar role.
• Strong proficiency in Python programming language.
• Strong proficiency in database technology (SQL, NoSQL).
• Extensive experience with Azure/AWS cloud services (e.g., EC2, S3, Lambda, RDS).
• Solid understanding of software architecture and design patterns.
• Proven experience designing end-to-end system architectures for complex, distributed applications.
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes, Terraform).
• Knowledge of CI/CD pipelines and DevOps practices.
• Experience working on client-facing or consulting engagements, translating ambiguous business requirements into technical architectures.
• Excellent problem-solving skills and attention to detail.
• Strong communication and leadership abilities.
• Ability to work effectively in a fast-paced, collaborative environment.
• Hands-on experience building AI-enabled applications, including LLM integrations and generative AI use cases.
• Experience designing and implementing RAG architectures, including document ingestion, embedding pipelines, and retrieval optimization.
• Familiarity with vector databases and semantic search technologies (e.g., Solr, Qdrant, OpenSearch, Elasticsearch).
• Experience with agent-based systems, including tool orchestration, multi-step workflows, and API integrations.
• Understanding of prompt engineering, evaluation frameworks, and techniques to improve model reliability (e.g., hallucination mitigation).
• Experience integrating AI systems into production environments, including monitoring, observability, and cost/performance trade-offs.
   

Responsibilities

• Lead the design, development, and deployment of scalable software solutions using Python and AWS.
• Lead architecture design for AI-driven systems, including LLM-based applications, RAG pipelines, and intelligent automation workflows.
• Architect and implement robust, high-performance systems that meet business requirements.
• Define end-to-end solution architectures that integrate AI components with existing enterprise systems.
• Collaborate with cross-functional teams to define technical specifications and ensure alignment with project goals.
• Work directly with clients/stakeholders to understand business challenges and translate them into scalable AI/ML solutions.
• Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.
• Provide technical leadership on AI architecture decisions, trade-offs, and best practices.
• Conduct code reviews and ensure adherence to best practices and coding standards.
• Troubleshoot and resolve complex technical issues, ensuring system reliability and performance.
• Evaluate and optimize AI system performance, including latency, cost, and output quality.
• Stay updated with the latest industry trends and technologies, integrating them into the development process.
• Drive adoption of emerging AI technologies and frameworks where appropriate.
• All other duties as assigned.

Preferred Qualifications:

• Experience delivering AI/LLM solutions from prototype to production in enterprise environments.
• Experience with ML pipelines: model deployment, model serving, and debugging.
• Experience with other programming languages (e.g., Java, Go, C++).
• Experience with web frameworks (Django, Flask, FastAPI) .
• Deep familiarity with generative AI ecosystems and tooling (e.g., OpenAI, Hugging Face, LangChain, LlamaIndex).
• Experienced with system architecture, design patterns, and API design.
• Experience with infrastructure as code tools.
• Proven experience in a mentorship and/or leadership role.

Work in a way that works for you

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Working for you

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
• Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan - Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
• Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity - Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
• Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
• Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

About the Business

LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.

#AIFluent

U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

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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