LexisNexis® Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient. We are building a new generation financial compliance screening tool with agentic AI from ground up for tier 1 financial institutions, which is going to supplement our flagship screening engines in the same domain. A new team being formed to carry out the work in multiple phases. As a Software Engineering Lead, you will serve as a subject matter expert for a team of software engineers for a specific team of Software Engineers. In addition to writing code on complex systems and applications, this position provides direction on project plans, schedules, and methodologies. The position has direct reports. Project Specific: Proven experience working with AI/ML/DL based systems, Generative AI. Willingness to learn proprietary abstractions over AI tools. Very strong with cloud toolchain, ideally AWS and Azure, also willingness to learn other cloud provider toolchain. Extremely strong with all facets of an enterprise Java solution, ideally a polyglot, at least with Python. API first development and any exposure with Agentic patterns is a plus. Ace communicator, planner for different audiences up and downstream. Good people skills, ability to multi-task, building strong rapport with different ownership disciplines e.g; Principal SW Eng, Principal QA, Principal SRE. Proven experience building a 'high performing' and 'happy' Agile team. Can do, go getter mindset. Thinking and planning ahead. Strong hands-on skills, this is not a 'I just manage a team' position, diligent delegation though is expected.
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Job Type
Full-time
Career Level
Senior