Job description

Are you passionate about leading engineering teams while building innovative AI-powered software solutions that solve complex business challenges? Do you enjoy combining hands-on technical expertise, strategic leadership, and team development to deliver scalable, high-quality products and data-driven solutions? About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at risk.lexisnexis.com About our Team The Lead Software Engineer represents the development team in daily stand-ups, communicating progress, risks, dependencies, and delivery timelines to business and product stakeholders. Responsibilities include refining requirements, managing user story updates, conducting research and analysis, generating data extracts, performing code reviews, and promoting engineering best practices. The role also drives automation and innovation using GitHub Actions, AI-powered chatbots, and intelligent agents to improve development, quality, and operational efficiency. In addition, the Lead provides people leadership through regular one-on-ones, goal setting, coaching, mentoring, development planning, and performance evaluations. About the Role We are seeking an experienced Software Engineering Lead to provide hands-on technical leadership and people management for a team of software engineers. This role combines software architecture, application development, technical problem-solving, project delivery, and team leadership. The successful candidate will drive engineering excellence, deliver scalable enterprise solutions, and foster a high-performing, collaborative Agile team. Responsibilities Lead the design, development, testing, and maintenance of complex enterprise software systems and applications. Provide hands-on technical leadership while mentoring engineers, delegating effectively, and managing direct reports. Translate business requirements into technical designs, development plans, and scalable software solutions. Establish engineering best practices, including code reviews, test-driven development, automated testing, and coding standards. Lead the development and integration of AI/ML, Deep Learning, and Generative AI-based solutions. Design, develop, and optimize ETL processes, data pipelines, and data integration workflows. Manage project plans, schedules, priorities, technical risks, and delivery commitments. Collaborate with business stakeholders, internal technology teams, and external partners to resolve complex technical challenges. Requirements Extensive experience in software engineering. Hands on experience in enterprise Java development and architecture, with proficiency in Python and experience in polyglot environments. Hands-on experience with ETL development, data integration, and data pipeline design, implementation, troubleshooting, and optimization. Strong experience with AI/ML/DL-based systems and Generative AI technologies. Extensive experience with cloud platforms and toolchains, ideally AWS and Microsoft Azure, with the ability to learn additional platforms. Strong knowledge of API-first development, system integration, SQL, query optimization, and complex data modeling. Experience with multiple data storage technologies, data quality, and performance optimization. Demonstrated experience leading software engineers, managing direct reports, and delivering complex technical projects. Deliver high-quality, secure, scalable, and maintainable software solutions. Ensure effective implementation of engineering standards and reliable ETL and data integration solutions. Drive successful project execution, technical quality, and timely resolution of complex issues. Develop and retain engineering talent while fostering accountability, innovation, and collaboration. Align technical decisions and team priorities with business objectives. Experience in the insurance industry, particularly across Auto, Property, and Commercial lines, with exposure to Claims and Policy data, would be a plus. U.S. National Base Pay Range: $115,400 - $192,300. 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 1-855-833-5120. 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. 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Requirements

Must-haves

Are you passionate about leading engineering teams while building innovative AI-powered software solutions that solve complex business challenges?
Do you enjoy combining hands-on technical expertise, strategic leadership, and team development to deliver scalable, high-quality products and data-driven solutions?
Lead the design, development, testing, and maintenance of complex enterprise software systems and applications.
Provide hands-on technical leadership while mentoring engineers, delegating effectively, and managing direct reports.
Translate business requirements into technical designs, development plans, and scalable software solutions.
Establish engineering best practices, including code reviews, test-driven development, automated testing, and coding standards.
Lead the development and integration of AI/ML, Deep Learning, and Generative AI-based solutions.
Design, develop, and optimize ETL processes, data pipelines, and data integration workflows.
Manage project plans, schedules, priorities, technical risks, and delivery commitments.
Collaborate with business stakeholders, internal technology teams, and external partners to resolve complex technical challenges.
Extensive experience in software engineering.
Hands on experience in enterprise Java development and architecture, with proficiency in Python and experience in polyglot environments.
Hands-on experience with ETL development, data integration, and data pipeline design, implementation, troubleshooting, and optimization.
Strong experience with AI/ML/DL-based systems and Generative AI technologies.
Extensive experience with cloud platforms and toolchains, ideally AWS and Microsoft Azure, with the ability to learn additional platforms.
Strong knowledge of API-first development, system integration, SQL, query optimization, and complex data modeling.
Experience with multiple data storage technologies, data quality, and performance optimization.
Demonstrated experience leading software engineers, managing direct reports, and delivering complex technical projects.
Deliver high-quality, secure, scalable, and maintainable software solutions.
Ensure effective implementation of engineering standards and reliable ETL and data integration solutions.
Drive successful project execution, technical quality, and timely resolution of complex issues.
Develop and retain engineering talent while fostering accountability, innovation, and collaboration.
Align technical decisions and team priorities with business objectives.

Nice-to-haves

Experience in the insurance industry, particularly across Auto, Property, and Commercial lines, with exposure to Claims and Policy data, would be a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiagilemljavapythonawsazureapisql

Platform: workday
Effort: long