Are you passionate about building AI-driven software that transforms how professionals work? Join our fast-moving, forward-thinking group that is creating AI-driven software for professionals through our investigative platform, CLEAR (Consolidated Lead Evaluation and Reporting), which empowers users to search and analyze billions of public and proprietary records from a unified interface. We invest deeply in AI technologies and explore emerging fields with the backing of Thomson Reuters, a global leader. As a Lead Software Engineer – AI, you will play a lead role in full-stack web development, focusing on AI solutions, agents, and RAG, as well as traditional application layers such as gateways, APIs, and user interfaces—developing intelligent systems that power the next generation of expert solutions across legal, tax, risk, and compliance domains. In this opportunity as a Lead Software Engineer, AI, you will: Build and architect AI-driven systems – Design and lead the implementation of enterprise-scale AI systems, including multi-component pipelines, retrieval-augmented generation (RAG) architectures, and autonomous AI agents with multi-step reasoning; lead full-stack development from AI orchestration and RAG through API gateways, microservices, and modern web UIs. Drive innovation and technical strategy – Lead evaluation and adoption of cutting-edge AI techniques; oversee proof-of-concept work and technical feasibility for new AI-driven features; stay current with AI research and translate insights into technical roadmaps; represent the organization at industry conferences and events. Provide senior technical leadership – Lead architecture decisions and translate business requirements into scalable technical specifications; mentor senior and junior software engineers; champion MLOps and LLMOps practices and governance for the AI model lifecycle. Ensure quality, security, and operational excellence – Design and implement testing, monitoring, and observability for AI systems at scale; lead compliance with ethical AI principles, security standards, and regulatory requirements; establish governance for AI model lifecycle management. Lead cross-functional collaboration – Partner with AI researchers, engineering leadership, design, and product to turn AI capabilities into market-leading applications; optimize performance for latency, cost, and user experience; influence product strategy through deep technical expertise.
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Job Type
Full-time
Career Level
Mid Level