Software Engineering Lead- (AI product)

This Software Engineering Lead position presents a compelling opportunity for experienced engineers looking to advance their careers within a dynamic and forward-thinking environment. At its core, the role involves modernizing and enhancing a flagship AI product for LexisNexis Intellectual Property, specifically LexisNexis® Classification. This is not just about maintaining existing systems; it's about actively shaping the future of a product that leverages cutting-edge AI to analyze millions of patents globally.

Key Advantages for Candidates:

• Impactful Product Ownership: You'll have direct ownership of the product modernization backlog and the mission of a highly skilled agile team. This is a chance to be a key contributor to a product that empowers innovators and drives societal progress.
• Cutting-Edge Technology Stack: This role offers hands-on experience with a modern, cloud-native infrastructure, including AWS services (EKS, S3, Lambda, CDK), Angular, Python, C#/.Net, SQL, and Applied AI/ML libraries. This exposure is invaluable for staying at the forefront of software engineering.
• Strategic AI/ML Integration: A significant aspect of the role is leading the delivery and scaling of research from an in-house data science team into tangible AI-powered features. This provides a unique opportunity to bridge the gap between theoretical AI and practical application.
• Leadership and Mentorship: As a Lead, you'll guide a small, skilled agile team, fostering best practices in development processes, coding standards, and code reviews. This is an excellent platform to hone your leadership and mentorship abilities.
• Global Collaboration: While your team will be based in London, you'll collaborate with colleagues in South Africa and a wider network of stakeholders across the UK, Germany, the Netherlands, and the USA. This broad international exposure can be a significant career asset.
• Focus on Innovation and User Experience: The team's objective is to enrich user experience through new features and functions, directly contributing to the product's evolution and success.
• Emphasis on Work-Life Balance and Well-being: The company prioritizes a healthy work-life balance with flexible working hours, generous holiday allowances, comprehensive health and well-being programs, and various benefits designed to support both immediate responsibilities and long-term goals.

Key Considerations for Candidates:

• Agile Leadership Experience: A strong understanding of Scrum and agile frameworks, with the ability to adapt them to meet business needs, is essential. Candidates should be comfortable leading a team within this methodology.
• Cloud and AI/ML Proficiency: While specific experience with PyTorch, Scikit-learn, Go, Databricks, JavaScript, and Azure Pipelines is desirable but not essential, a solid understanding of cloud platforms (especially AWS) and experience with AI-enabled SaaS products will be highly advantageous.
• Cross-Functional Communication: The role requires excellent communication and interpersonal skills to effectively engage with your team, stakeholders across different regions, and the broader application team. Taking ownership and communicating clearly across team boundaries is paramount.
• Technical Depth: Beyond leadership, candidates will be expected to contribute technically, solve complex problems, and write detailed specifications for system components.
• Geographic Collaboration: Be prepared to work effectively with teams and stakeholders in multiple international locations, requiring strong remote collaboration skills.

Overall, this Software Engineering Lead role offers a rewarding career path for individuals passionate about building impactful AI products within a supportive and innovative environment. It's an opportunity to lead, innovate, and grow your expertise in a company committed to making a significant contribution to society.