Manager Software Engineering - AI & Embedded Innovation

About the Team

Lexis Nexis 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.

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles.

This position provides technical and people leadership for software engineers delivering internal, AI-enabled products and platforms as part of the Embedded Innovation Program. The role is responsible for leading small, high‑impact engineering teams embedded with business domains to rapidly identify, prototype, deliver, and scale AI‑driven solutions that improve employee productivity, decision quality, and operational speed.

The Manager, Software Engineering partners closely with Product Managers, designers, domain stakeholders, and platform teams to translate ambiguous problem spaces into secure, reliable, and reusable AI‑first solutions. This role emphasizes modern AI development practices, experimentation, and rapid iteration while maintaining high standards for engineering excellence, security, and compliance.

The position reports progress, outcomes, and risks to senior technology leadership and contributes to the evolution of AI engineering standards, patterns, and ways of working.

Engineering Leadership & Delivery

• Lead engineers responsible for building internal, employee‑facing AI products from concept through production.
• Partner with Product Managers to scope, prioritize, and deliver high‑impact AI use cases aligned to business outcomes.
• Ensure solutions are built with scalability, maintainability, and reusability in mind.
• Participate in design and code reviews to maintain engineering standards and quality.
• Act as a technical escalation point for complex implementation issues.

AI & Innovation Enablement

• Support AI‑first engineering practices across the software development lifecycle.
• Contribute to shared patterns, components, and documentation to enable reuse across teams.
• Work with architecture, platform, and security partners to ensure compliance with enterprise standards.

People Management & Development

• Manage performance, coaching, and development of engineering staff.
• Foster a culture of learning, experimentation, and continuous improvement.
• Ensure team members have the tools, training, and support needed to succeed.

Stakeholder Partnership & Communication

• Collaborate with domain teams and stakeholders to understand problems and deliver effective solutions.
• Communicate progress, risks, and tradeoffs clearly to partners and leadership.
• Support adoption and change management for new AI‑enabled capabilities.

• 8+ years of professional software development experience.
• 2+ years of experience managing or leading software engineers.
• BS in Computer Science, Engineering, or equivalent experience required; advanced degree preferred.
• Experience delivering AI‑enabled or data‑driven products in an enterprise environment.
• Experience leading engineering teams building AI‑enabled applications, including LLM‑based workflows, automation, or decision‑support systems.
• Working knowledge of modern AI architectures, such as model integration patterns, retrieval‑augmented generation (RAG), and orchestration frameworks.
• Ability to balance rapid experimentation with enterprise requirements including security, privacy, reliability, cost management, and governance.
• Proficiency in cloud‑native development, APIs, and scalable service architectures.
• Experience with modern programming languages and frameworks (e.g., Java, Python, JavaScript/Type Script, .NET).
• Working knowledge of SQL and No
  
  SQL data stores and…