Position Details

Type Full-Time

Experience lead

Exp. Years 8+ years

Education BS in Computer Science, Engineering, or related field; advanced degree preferred

Category Executive & General Management

About this role

Manager, Software Engineering - AI & Embedded Innovation leads internal AI-enabled product teams to rapidly prototype, deliver, and scale AI-driven solutions for LexisNexis, ensuring security and enterprise-grade quality.

Key Responsibilities

Engineering leadership for internal AI products
Partner with Product Managers to scope and deliver AI use cases
Ensure scalability, maintainability, and enterprise compliance
Participate in design and code reviews
Drive adoption and change management for AI-enabled capabilities

Technical Overview

Role emphasizes AI-first engineering, LLM-based workflows, model integration, retrieval-augmented generation (RAG), orchestration frameworks, and cloud-native architectures with strong governance and security considerations.

Ideal Candidate

The ideal candidate is an experienced software engineering leader with 8+ years of experience, a track record delivering AI-enabled enterprise solutions, and a strong background in security, governance, and compliance within an enterprise environment.

Must-Have Skills

8+ years of professional software development experience2+ years of experience managing or leading software engineersExperience delivering AI-enabled or data-driven products in an enterprise environmentExperience leading engineering teams building AI-enabled applicationsAbility to balance rapid experimentation with enterprise requirements (securityprivacyreliabilitycostgovernance)

Nice-to-Have Skills

Experience with LLM-based workflows and orchestrationWorking knowledge of SQL and NoSQL data storesAgile development practicesCI/CDobservabilityproduction support

Tools & Platforms

SAML/SSOADFSAzure ADCI/CD pipelinesObservability tools

Required Skills

8+ years of professional software development experience; 2+ years managing software engineers; Experience delivering AI-enabled or data-driven products; Experience leading AI-enabled applications including LLM-based workflows; Knowledge of modern AI architectures (RAGretrievalorchestration); Cloud-native development; Proficiency in JavaPythonJavaScript/TypeScriptand .NET; SQL and NoSQL data stores; AgileCI/CDobservability; Securityprivacygovernance

Hard Skills

PythonJavaJavaScriptSQL / PostgreSQLAzureAmazon Web ServicesKubernetesDockerActive DirectoryMicrosoft 365CI/CDObservabilitySecuritySAML/SSOCloud-nativeAPIsNoSQL

Soft Skills

leadershipteam managementcommunicationstakeholder managementstrategic thinkingproblem-solving

Certifications

Preferred

CISSPCCSKCCSPCCSE

Industry & Role

Industry Legal & Professional

Job Function Lead software engineering teams to deliver AI-enabled internal products within the Embedded Innovation program

Role Subtype Director of IT

Tech Domains Python, Java, JavaScript, SQL / PostgreSQL, Azure, Amazon Web Services, Kubernetes, Docker, Active Directory, Microsoft 365

Keywords for Your Resume

Manager Software EngineeringAI & Embedded InnovationLexisNexisEmbedded AIAI-first engineeringmodel integrationRAGorchestrationCI/CDobservabilityproduction supportsecurityprivacygovernanceRELX Responsible AI PrinciplesDirector of ITSecurityCloud-nativeSAML/SSOembedded AI

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Manager Software Engineering - AI & Embedded Innovation

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