What are the responsibilities and job description for the Manager Software Engineering - AI & Embedded Innovation position at Reed Elsevier Technology Services?
About the 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. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (;br>
About the Role
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.
Responsibilities
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
Requirements
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/TypeScript, .NET)
Working knowledge of SQL and NoSQL data stores and data modeling concepts
Experience with Agile development practices and iterative delivery models
Familiarity with CI/CD pipelines, automated testing, observability, and production support
Ability to evaluate emerging AI tools and technologies and apply them pragmatically
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 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:
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.
U.S. National Base Pay Range: $118,300 - $219,800. 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.
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-.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here
Please read our Candidate Privacy Policy.
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.
USA Job Seekers:
EEO Know Your Rights.
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. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (;br>
About the Role
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.
Responsibilities
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
Requirements
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/TypeScript, .NET)
Working knowledge of SQL and NoSQL data stores and data modeling concepts
Experience with Agile development practices and iterative delivery models
Familiarity with CI/CD pipelines, automated testing, observability, and production support
Ability to evaluate emerging AI tools and technologies and apply them pragmatically
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.
U.S. National Base Pay Range: $118,300 - $219,800. 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.
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-.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here
Please read our Candidate Privacy Policy.
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.
USA Job Seekers:
EEO Know Your Rights.
Salary : $118,300 - $219,800