Manager Software Engineering - AI & Embedded Innovation

LexisNexis
Raleigh, United States of America
12 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 220K

Job location

Raleigh, United States of America

Tech stack

Java
JavaScript
.NET
Adobe InDesign
API
Agile Methodologies
Artificial Intelligence
Automation of Tests
Cloud Computing
Code Review
Data Stores
Python
NoSQL
Standard Sql
Service-Oriented Architecture
Software Engineering
TypeScript
Large Language Models
Generative AI
Information Technology
Data Analytics
Programming Languages

Job description

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

Benefits & conditions

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 company

 LexisNexis ist ein führender Anbieter intelligenter Rechtsinformation in den Bereichen Steuern, Recht und Wirtschaft. Wir bieten und entwickeln Lösungen und Services, welche die Arbeit unserer Kund:innen schneller, einfacher und produktiver gestalten. 

Als Teil des Business Systems & Technology Teams von LexisNexis Österreich stellen Sie den reibungslosen Ablauf der Geschäftsprozesse durch unsere Business Systeme sicher. Gleichzeitig tragen Sie dazu bei, dass wir unsere Systeme laufend an die sich ändernden Geschäftsprozesse anpassen und weiterentwickeln. 

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