Finance Systems AI/Automation Engineer
AI in this role
What if you could build AI-powered solutions that transform how Finance teams work every day?
Are you excited by the opportunity to design, code, and deploy automation that delivers measurable business impact?
About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (http://www.relx.com), 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. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles.
About the Role
As an AI Automation Engineer, you will design, build, and deploy AI-enabled automation and data solutions within Commercial and Corporate Finance. This is a hands-on engineering role focused on writing code, building integrations, automating workflows, and embedding AI capabilities directly into finance systems and reporting processes. You will deliver production-ready solutions that reduce manual effort, improve data quality, and accelerate insight generation.
Responsibilities
- Design, develop, and deploy AI-driven automation solutions for FP&A workflows.
- Write and maintain code to automate monthly reporting production, forecast preparation and consolidation, data validation and quality controls, and first-draft financial analysis.
- Build and maintain data pipelines to extract, transform, and load finance data between systems.
- Develop integrations using APIs to connect finance systems, reporting tools, and AI services.
- Prototype solutions quickly and move them into production environments with appropriate controls.
- Debug, optimize, and enhance existing automation and reporting solutions.
- Embed AI capabilities into structured finance workflows, including variance explanation support, automated commentary generation, and anomaly detection.
- Take ownership of the full solution lifecycle from concept through design, build, test, deployment, and ongoing maintenance.
Requirements
- Hands-on development experience with Python, SQL, or similar programming languages.
- Experience building automation scripts, data pipelines, or system integrations.
- Experience working with APIs and structured data, including JSON and REST services.
- Demonstrated ability to independently design and implement technical solutions.
- Experience working within or closely supporting Finance, including FP&A, financial systems, or commercial finance environments.
- Strong analytical and problem-solving capability.
- Ability to debug and support production automation solutions.
- Experience embedding AI or advanced analytics into operational workflows.
- Familiarity with finance systems, cloud-based platforms, and enterprise data environments.
Work in a Way That Works for You
We promote a healthy work/life balance across the organisation. 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 Pattern
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.
About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
U.S. National Base Pay Range: $78,800 - $131,300. 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.
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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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How we rate this
Finance Systems AI/Automation Engineer at RELX rates 54 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a workflow you automated with AI tools, end to end.
- How do you think about the risk of an AI system in this kind of role failing silently?
- This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
- Tell me about a time an AI tool got something wrong. How did you catch it?
Adapt your resume
- List these exact terms on your resume: AI Automation and AI Safety. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.
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