Thomson Reuters

Lead Software Engineer, AI

Thomson Reuters
Posted 10/19/2026full-timeZug • SwitzerlandSeniorWebsite
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Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and building production AI agent systems using modern LLM APIs and agent SDKs, while advancing deployment practices and ensuring production reliability. Proven ability to mentor engineers and influence technical culture within a fast-paced, autonomous environment.

Highest-signal resume keywords
AI/LLM-Powered Product DevelopmentTechnical Architecture LeadershipProduction Reliability DesignMentorship and Technical Culture InfluenceCloud Infrastructure Expertise

Tech Stack

Tools & technologies
AWSCloudDistributed Systems

About the role

Key responsibilities & impact
  • Set technical architecture and direction across core agent infrastructure, internal tooling, and production reliability initiatives
  • Provide hands-on technical leadership across the team's highest-priority initiatives
  • Architect and build production AI agent systems using modern LLM APIs, agent SDKs, and orchestration/runtime infrastructure
  • Design agent observability and evaluation practices, including tracing, automated evaluations, and quality/drift detection
  • Advance deployment and operations practices for AI agents, including progressive and feature-flagged rollout and earlier-stage quality signals
  • Drive cross-cutting design reviews and technical decisions through RFCs and ADRs
  • Mentor senior engineers and raise the technical bar, including AI-native and agentic development practices
  • Partner with product and engineering leadership on system architecture and sequencing decisions

Requirements

What you’ll need
  • Extensive experience architecting and shipping production software systems
  • Hands-on experience building AI/LLM-powered products or agentic systems
  • Direct experience with modern LLM APIs, agent frameworks/SDKs, or agent-to-tool integration protocols
  • Track record of setting technical direction across multiple concurrent initiatives
  • Strong backend engineering fundamentals, including distributed systems design, service architecture, and cloud infrastructure
  • Experience designing for production reliability and observability, including monitoring, evaluation pipelines, incident response, and quality regression detection
  • Demonstrated ability to mentor senior engineers and influence technical culture and practices
  • Comfort operating with high autonomy on a fast-moving, senior-heavy team using AI-native/agentic engineering practices
  • Experience leading architecture for developer-facing platforms, plugin/extension systems, or integration ecosystems
  • Familiarity with progressive delivery practices, including feature flagging, phased rollout, and blue/green deployment at scale
  • Experience advancing elite software delivery practices, including progressive delivery, shift-left quality/testing, deployment frequency, lead time, and change failure rate
  • Experience with managed agent runtime infrastructure such as AWS Bedrock AgentCore or similar
  • Domain expertise in legal, regulated, professional-services, or other fiduciary domains is a plus, but not required

Benefits

Comp & perks
  • Flexible hybrid working environment for office-based roles
  • Work from anywhere for up to 8 weeks per year
  • Flexible vacation
  • Two company-wide Mental Health Days off
  • Access to the Headspace app
  • Retirement savings
  • Tuition reimbursement
  • Employee incentive programs
  • Resources for mental, physical, and financial wellbeing
  • Two paid volunteer days off annually
  • Opportunities to participate in pro-bono consulting projects and ESG initiatives
  • Career development, continuous learning, and skills development through Grow My Way programming
  • Flexible work-life balance policies through Flex My Way

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Architecting Production Software SystemsBackend Engineering FundamentalsDistributed Systems DesignService ArchitectureMonitoring and Evaluation PipelinesQuality Regression DetectionFeature FlaggingProgressive Delivery PracticesIncident ResponseIntegration Ecosystems
Soft Skills
Technical LeadershipMentoring Senior EngineersInfluencing Technical CultureHigh Autonomy OperationCollaboration with Product and Engineering Leadership
Tools & Technologies
Modern LLM APIsAgent Frameworks/SDKsAWS Bedrock AgentCoreOrchestration/Runtime InfrastructureAutomated Evaluations
Industry Keywords
Legal Domain ExpertiseRegulated IndustriesProfessional ServicesFiduciary Domains