Lead Software Engineer, AI - Clear

Lead Software Engineer, AI - Clear 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. About the Role 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. About You You're a fit for the role of Lead Software Engineer, AI if you have the following required qualifications: Bachelor's degree in Computer Science, Engineering, or equivalent experience (Master's degree preferred), and 8 years of software engineering experience with at least 4 years in senior or lead roles focused on AI/ML. Proven track record as a software engineer with AI expertise (not primarily a data scientist or ML researcher), with experience in Generative AI, RAG, and LLMs—including solution discovery, architecture, agentic tools, evaluation, deployment, lifecycle, and metrics. Strong proficiency in Java/Spring Boot for backend services and APIs; hands-on experience with modern front-end frameworks (React, Angular, or Vue.js) and full-stack web application development; experience building production RESTful APIs, microservices, and API gateways; solid understanding of web security, authentication/authorization, and API design. Expert-level proficiency in Python and extensive experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX); deep understanding of ML principles, evaluation methodologies, and distributed systems; proven experience with MLOps/LLMOps and the full lifecycle of enterprise AI applications. Advanced experience with AWS and orchestration tools (Docker, Kubernetes, Terraform); demonstrated ability to integrate AI models into large-scale production systems via APIs, data pipelines, and cloud-native architectures. ... (truncated, view full listing at source)