LexisNexis Legal & Professional

Legal

ManagerSoftwareEngineering

₹29–46L ~AI est. Bengaluru, India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Manager Software Engineering at LexisNexis Legal & Professional”

Industry & Context.

Legal
Full Job Description

**Are you ready for a leading Engineer role?** **Would you enjoy working on our cutting-edge products?** **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:** This role provides strategic and technical leadership to software engineering teams, including onshore, offshore, contractors, and interns, to deliver scalable, secure, and AI-enabled software solutions. The Manager drives execution across the software development lifecycle while evolving teams toward **AI fluency, modern engineering practices, and product-centric thinking**. The position partners closely with product, architecture, data, and business stakeholders to define and deliver high-impact solutions. It is responsible for **building high-performing teams, fostering innovation (including GenAI adoption), and ensuring delivery excellence**. Additionally, this role contributes to **technology strategy, talent development, and organizational transformation** , including the responsible adoption of **Generative AI, automation, and intelligent systems**. **Responsibilities:** **Team Leadership & AI Fluency** * Build and lead high-performing engineering teams with a focus on **AI fluency, continuous learning, and innovation** * Establish a culture of **experimentation, responsible AI usage, and engineering excellence** * Mentor engineers in both **core software engineering and AI-assisted development practices**

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