Jobs at Thomson Reuters

Design, develop, and implement Salesforce solutions (Sales Cloud, CPQ, Apex, Visualforce, LWC). Integrate systems via REST/SOAP, manage enviroments and change control, use Git and data/integration tools, and deliver technical documentation while collaborating with cross-functional teams.

As a Senior Software Engineer, Full Stack, you will build backend services and APIs for a document analysis platform, focusing on server-side architecture and data processing, while also contributing to frontend features as needed.

Lead an engineering team to design, build, and ship CoCounsel's UI and backend systems. Own architecture, roadmap, and execution; mentor engineers; recruit talent; collaborate with product and design; and apply GenAI techniques to deliver measurable product impact.

As a Software Engineer - AI, you will design, develop, and deploy AI solutions for legal applications, working with clients and technical teams to enhance legal workflows and improve AI outputs.

Design, issue, and communicate annual sales incentive plans; evaluate and analyze plan effectiveness; design supplemental incentives; enforce sales policies; partner with Sales, Finance, HR, Sales Operations, and Quota/Territory teams; manage cross-functional stakeholder relationships and lead related projects.

As Lead Applied Scientist, you will innovate and deliver AI solutions for document understanding, ensuring accountability for research deliverables and optimizing capabilities while guiding technical direction and mentoring team members.

Design, develop, and productionize AI/ML features and infrastructure. Implement and optimize models, build APIs and microservices, monitor and tune performance, mentor engineers, and support full lifecycle deployment and A/B testing.

Productionize, optimize, and scale LLM and ML inference across multi-cloud and Kubernetes. Deploy GPU-based workloads, implement routing/failover for model services, reduce latency via quantization/pruning/distillation, profile and tune hardware utilization, and build observability, monitoring, and cloud-native guardrails for enterprise AI services.

Design, build, and deploy production-grade neural search and retrieval systems (dense, hybrid, semantic, RAG). Develop query understanding, re-ranking, evaluation frameworks, and LLM post-training for retrieval. Partner with engineering for scalable indexing, ranking, and production reliability; contribute to research and IP.

Lead security and compliance architecture for CoCounsel, implementing SOC 2, ISO, HIPAA, and FedRAMP controls; build compliance-as-code, data protection (encryption, key management, tenant isolation), IAM, observability, and audit tooling; partner with security, legal, and engineering; mentor teams and ensure production-scale, provable compliance and incident readiness.

Lead technical direction for backend, AI orchestration, and identity systems for CoCounsel. Design authentication/authorization, multi-tenant isolation, large-scale AI workflows, observability, SLOs, and reliability. Partner with product, security, and ML teams; mentor engineers and own end-to-end delivery of production-grade legal AI systems.

The Senior Applied Scientist will lead research projects in AI/ML for various legal and taxation solutions, focusing on developing scalable AI capabilities while mentoring junior team members.

The Lead Research Engineer will provide technical leadership, develop scalable ML solutions, and collaborate with teams to innovate and deliver products that enhance customer experiences in legal, accounting, and government sectors.

Design, build, and deploy production-grade legal AI solutions by translating legal user needs into robust software. Collaborate with AI engineers, apply prompt/LLM evaluation, use DevOps and Infrastructure-as-Code, practice TDD, mentor junior engineers, lead agile projects, and deliver end-to-end solutions for law firms and legal departments.

Drive product positioning, messaging, and go-to-market plans for CoCounsel Legal. Lead cross-functional launches, sales enablement, customer advocacy, content and campaign creation, and market/competitive research to grow awareness, adoption, and advocacy in the AI legal market.

Lead design, implementation, administration, and hardening of enterprise Active Directory and hybrid identity (Entra ID) environments. Own federation, Entra ID Connect, MFA/Conditional Access, AD replication/authentication troubleshooting, automation with PowerShell, DR/HA readiness, and identity modernization. Provide senior escalation, mentor junior engineers, support M&A identity integrations, and drive compliance, security, and operational improvements.

As Engineering Manager, you will manage a technical team, drive technical strategy, mentor developers, and ensure effective product delivery while aligning with organizational goals.

Lead end-to-end engineering for search and retrieval systems powering traditional search and agentic AI workflows: design ingestion/indexing, ranking, evaluation, productionize models, operate APIs on AWS, lead a squad, and collaborate with applied scientists to run experiments and measure real retrieval quality.

Lead design, build, and deploy large-scale search and information retrieval systems for legal and enterprise content. Own indexing, ingestion, ranking and re-ranking, semantic and hybrid retrieval, LLM-enhanced RAG architectures, evaluation frameworks, and production optimization. Mentor scientists, drive technical decisions, and partner with engineering to deliver reliable, scalable search services.

Lead full‑stack development of customer‑facing features using React/TypeScript and Python, design and deliver GenAI/LLM integrations (agentic workflows, MCP/A2A), set technical standards, collaborate with product/design/platform, drive execution, and mentor engineers to improve code quality and system reliability.