Jobs at Thomson Reuters

Design, develop, and maintain scalable web applications and APIs across the full software lifecycle. Collaborate with cross-functional teams to analyze requirements, implement solutions, ensure secure coding, support high-availability production systems, and contribute to engineering processes, documentation, CI/CD, testing, and team growth.

Lead architecture and development of high-throughput document-processing services, primarily in Rust with C#/.NET support. Design distributed, highly available queue-driven systems; optimize performance, memory, concurrency, and reliability; evolve APIs and schemas safely; and operate services in production. Lead complex projects, mentor engineers, write technical designs, evaluate AI coding agents, collaborate across teams, and participate in on-call and incident response.

Leads the design, development, evaluation, and production deployment of document understanding systems for legal, tax, and accounting content. Responsibilities include semantic chunking, document enrichment, hierarchical classification, entity and citation extraction, knowledge graph construction, LLM post-training, model distillation, synthetic data generation, and evaluation framework development. The role guides architecture and AI strategy, partners with engineering on scalable delivery, influences leadership, and mentors applied scientists and ML practitioners.

Architects and ships production AI agent systems, including multi-component pipelines, tool integrations, orchestration infrastructure, observability, evaluations, and reliability practices. The role owns complex systems end-to-end, contributes to technical architecture and progressive delivery, collaborates across product and engineering, and mentors engineers. It requires strong backend, distributed systems, cloud infrastructure, LLM, and agentic development experience.

Maintain, secure, and optimize complex network infrastructure across cloud, virtualized, and containerized environments. Configure and harden network equipment, troubleshoot connectivity and performance, support compliance (SOC2/STIG/NIST), automate with Terraform/Ansible, collaborate with DevOps/security teams, and perform after-hours maintenance. Must be U.S. citizen and able to obtain a U.S. National Security Clearance.

The role requires shaping, delivering, and managing the architecture strategy for enterprise transformation programs, collaborating with stakeholders, and defining solution roadmaps.

Design, build, deploy, scale, and operate the Customer Files Orchestration Service. Develop distributed systems for file upload, storage, extraction, embedding, and indexing using asynchronous workflows, queues, APIs, and durable state. Ensure reliability through idempotency, consistency models, rate limiting, observability, autoscaling, and recovery mechanisms. Participate in on-call operations, incident response, CI/CD, infrastructure-as-code, and technical design. Collaborate across engineering teams and mentor engineers through reviews and technical leadership.

Design, build, deploy, scale, and operate the Customer Files Orchestration Service for CoCounsel Legal. Responsibilities include developing distributed asynchronous systems, queues, APIs, reliability mechanisms, observability, and production operations. The role involves collaborating across engineering teams, supporting CI/CD and infrastructure-as-code, participating in on-call rotations, leading incident response, mentoring engineers, and ensuring reliable document upload, storage, extraction, embedding, and indexing workflows.

Leads the SMB Tax Solutions sales organization, owning revenue strategy, targets, pipeline forecasting, new-logo acquisition, expansion, renewals, and customer retention. Recruits, coaches, and develops sales managers and account executives while driving accountability and performance. Partners cross-functionally with Marketing, Product, Customer Success, Finance, Legal, and Sales Operations. Represents the company with strategic customers and industry groups, using consultative selling and market insights to improve growth and customer outcomes.

Manages post-sale customer relationships, onboarding, training, success planning, product adoption, renewals, and expansion. Reviews usage and customer health data to improve engagement, conducts check-ins and business reviews, advocates for customer needs internally, and collaborates with sales, marketing, and product teams to drive retention and value.

Drive new Tax solution sales across Central China by prospecting, responding to leads, designing solutions, developing proposals, negotiating, and closing deals. Manage territory strategy, maintain CRM data, achieve sales targets, engage senior decision-makers, and stay informed on China tax policy, regulations, and market developments.

Design, build, and deploy AI-powered systems (RAG, custom agents, multi-component pipelines). Integrate models into production via APIs and scalable data pipelines, contribute to MLOps/LLMOps, mentor engineers, prototype new techniques, ensure ethical AI and monitoring, and optimize performance for legal/tax/compliance expert systems.

Leads strategic planning, operational execution, resource and budget management, executive decision support, organizational planning, metrics, and cross-functional transformation for an engineering organization. The role bridges technical teams and senior leadership, drives strategic programs, manages operating rhythms, prepares executive communications, and supports hiring, talent, and process improvements for AI-powered product development.

Own customer outcomes for South Korean legal organizations using CoCounsel and related AI solutions. Lead onboarding, adoption, success planning, use-case expansion, ROI measurement, executive relationships, renewals, and cross-functional issue resolution. Support proofs of concept and trials, deliver presentations and reports, coordinate implementation timelines, and communicate customer feedback to internal teams.

Supports primary law content operations by analyzing, coding, copyreading, editing, converting, merging, rendering, loading, and validating legal and regulatory content for print and electronic products. Maintains accuracy, completeness, and deadlines while learning publishing processes, collaborating with teams, and using databases, software, and administrative systems.

Build, train, evaluate, and deploy production machine learning and LLM systems for legal document intelligence. Develop NLP solutions for information extraction, summarization, search, AI agents, and document analysis. Create scalable ML pipelines, evaluation frameworks, and reliability metrics while optimizing model performance. Collaborate with engineering, product, legal, data, and security teams to deliver secure AI capabilities and translate business problems into production solutions.

Design and lead enterprise AI systems using generative AI, RAG, knowledge graphs, and autonomous agents. Define technical strategy, evaluate emerging AI technologies, and guide architecture and roadmaps. Mentor engineers, champion MLOps and LLMOps governance, and ensure security, testing, monitoring, and observability. Collaborate with research, engineering, design, and product teams to deliver scalable customer-facing solutions while optimizing latency, cost, and user experience.

Monitors and investigates cybersecurity alerts, events, and incidents across enterprise systems, networks, cloud environments, and messaging platforms. The analyst triages alerts using SIEM, IDS, EDR, and related tools; communicates findings; supports incident response; improves detection coverage; prepares reports and briefings; maintains SOC procedures and documentation; and records activities in case management and ticketing systems.

Designs and leads enterprise AI systems for legal research, including RAG pipelines, knowledge graphs, autonomous agents, and AI platforms. Provides technical strategy, architecture, mentoring, governance, testing, observability, and operational leadership. Partners with research, engineering, design, and product teams to launch scalable, secure AI products. Requires hands-on software engineering expertise in generative AI, cloud-native systems, APIs, distributed systems, and production AI deployments.

Manages a global trade customer portfolio, defining success plans, delivering education, monitoring usage and customer health, addressing risks, and driving retention and commercial growth. Partners with Sales, Professional Services, and internal teams to resolve obstacles, improve customer outcomes, and identify expansion opportunities. Uses Gainsight and Salesforce to maintain customer data, pipeline, forecasts, and business plans while representing Customer Success in cross-functional forums.