Software Engineering Lead / Applied AI Engineering

What if you could lead a team shaping the next generation of AI-powered risk solutions that help businesses make faster, smarter, and more secure decisions? Are you excited by the opportunity to combine technical leadership, machine learning, and platform engineering to deliver real-world impact at scale? 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 https://risk.lexisnexis.com/ About the Role As a technical leader, you will guide a multidisciplinary engineering team responsible for delivering AI-enhanced products, internal tools, and platform capabilities. You will combine hands-on technical expertise with people leadership, helping the team build scalable, secure, and reliable machine learning services while driving innovation and operational excellence. Responsibilities Lead and grow a team of full-stack ML engineers, QA engineers, and a UI developer. Define technical direction for AI-enhanced services, internal tools, and platform components. Drive architecture for model deployment pipelines, inference APIs, and data and feature systems. Ensure high-quality delivery across code quality, testing, documentation, and observability. Partner with Product, Architecture, and ML Research teams to prioritise and scope work. Foster a culture of modern AI development practices, including LLM tooling, MLOps, and automation. Set and enforce DevOps and SecOps standards across the team's services and pipelines. Coordinate cross-team dependencies and contribute to roadmap planning. Requirements 7+ years in backend, full-stack, ML engineering, or distributed systems. 2+ years in technical leadership, team leadership, or senior mentoring roles. Hands-on experience deploying ML-powered services into production. Strong Python and Java, both of which are in active use across the team's production services. Experience with Snowflake, Spark, Databricks or similar technologies, CI/CD pipelines, and modern DevOps tooling. Solid understanding of SecOps practices and security-conscious system design. Demonstrable track record of taking initiative and driving work independently. Broad full-stack curiosity, with the ability to contribute outside a primary discipline when needed. Risk benefit statement Learn more about the LexisNexis Risk team and how we work here 



 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. USA Job Seekers: EEO Know Your Rights .