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Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
Staff Software Engineer – AI (Westlaw AI)
Thomson Reuters
On-site
Ann Arbor, MI, United States
Full-time
$147,000 -
$273,000
About Thomson Reuters
About the Role
As a Staff Software Engineer – AI, you will spearhead the development of cutting-edge AI-powered solutions and guiding technical strategy. You will collaborate with senior stakeholders, product leadership, and cross-functional teams to architect, build, and scale enterprise-grade AI systems that transform how our organization delivers value to customers.
Qualifications
Demonstrated success in building AI-driven systems that deliver expert-based, authoritative solutions.
Experience with large-scale enterprise data (OpenAI, Anthropic, etc.) and advanced knowledge of vector databases, semantic search, and information retrieval systems.
Domain expertise in legal, tax, accounting, or other regulated industries.
Track record of successful AI product launches and scaling AI systems to enterprise customers.
Portfolio demonstrating leadership in innovative LLM-based solutions and AI product development.
Experience with AI governance, model risk management, and regulatory compliance.
Publications, patents, or speaking experience in AI/ML domains.
Experience with large-scale enterprise data (OpenAI, Anthropic, etc.) and advanced knowledge of vector databases, semantic search, and information retrieval systems.
Domain expertise in legal, tax, accounting, or other regulated industries.
Track record of successful AI product launches and scaling AI systems to enterprise customers.
Portfolio demonstrating leadership in innovative LLM-based solutions and AI product development.
Experience with AI governance, model risk management, and regulatory compliance.
Publications, patents, or speaking experience in AI/ML domains.
Responsibilities
Build & Architect AI-Driven Systems
Design and lead the implementation of complex, enterprise-scale AI systems, including sophisticated multi-component pipelines, advanced retrieval-augmented generation (RAG) architectures, and autonomous AI agents with multi-step reasoning capabilities.
Architect scalable AI model integration strategies for production software through robust APIs, distributed data pipelines, and microservices architectures.
Lead the adaptation and customization of AI models for specialized domains, driving innovation in expert systems for legal, tax, fraud, and compliance.
Define technical solutions for AI system architecture across the organization.
Drive Innovation & Technical Strategy
Lead evaluation and scalable adoption of cutting-edge AI technologies to solve complex business challenges.
Oversee proof-of-concept projects and guide technical feasibility assessments for new AI-driven features.
Stay at the forefront of AI research and emerging technologies, translating insights into actionable technical roadmaps.
Drive innovation initiatives and establish the organization’s position in emerging AI technology areas.
Provide Senior Technical Leadership
Lead senior technical discussions and translate high-level business requirements into complete technical specifications.
Mentor a team of senior and junior Software Engineers, fostering technical growth and career development.
Champion new MLOps and LLMOps practices across the organization, leading both design and implementation initiatives.
Serve as a senior thought leader, driving technical discussions in executive forums and representing the organization at industry conferences and events.
Champion Security, Quality & Operational Excellence
Design and implement comprehensive testing frameworks, monitoring systems, and observability solutions for AI model performance at scale.
Lead compliance initiatives ensuring adherence to ethical AI principles, security standards, and regulatory requirements.
Conduct advanced systems analysis and drive operational improvements across AI lifecycle management.
Cross-Functional Collaboration
Partner with AI researchers, senior engineering leadership, design, and product teams to translate AI capabilities into market-leading applications.
Drive optimization of AI system performance across multiple dimensions including latency, resource usage, cost, and user experience.
Lead strategy initiatives for production feature enhancement and advanced AI applications informed through technical expertise and market understanding.
Design and lead the implementation of complex, enterprise-scale AI systems, including sophisticated multi-component pipelines, advanced retrieval-augmented generation (RAG) architectures, and autonomous AI agents with multi-step reasoning capabilities.
Architect scalable AI model integration strategies for production software through robust APIs, distributed data pipelines, and microservices architectures.
Lead the adaptation and customization of AI models for specialized domains, driving innovation in expert systems for legal, tax, fraud, and compliance.
Define technical solutions for AI system architecture across the organization.
Drive Innovation & Technical Strategy
Lead evaluation and scalable adoption of cutting-edge AI technologies to solve complex business challenges.
Oversee proof-of-concept projects and guide technical feasibility assessments for new AI-driven features.
Stay at the forefront of AI research and emerging technologies, translating insights into actionable technical roadmaps.
Drive innovation initiatives and establish the organization’s position in emerging AI technology areas.
Provide Senior Technical Leadership
Lead senior technical discussions and translate high-level business requirements into complete technical specifications.
Mentor a team of senior and junior Software Engineers, fostering technical growth and career development.
Champion new MLOps and LLMOps practices across the organization, leading both design and implementation initiatives.
Serve as a senior thought leader, driving technical discussions in executive forums and representing the organization at industry conferences and events.
Champion Security, Quality & Operational Excellence
Design and implement comprehensive testing frameworks, monitoring systems, and observability solutions for AI model performance at scale.
Lead compliance initiatives ensuring adherence to ethical AI principles, security standards, and regulatory requirements.
Conduct advanced systems analysis and drive operational improvements across AI lifecycle management.
Cross-Functional Collaboration
Partner with AI researchers, senior engineering leadership, design, and product teams to translate AI capabilities into market-leading applications.
Drive optimization of AI system performance across multiple dimensions including latency, resource usage, cost, and user experience.
Lead strategy initiatives for production feature enhancement and advanced AI applications informed through technical expertise and market understanding.
Benefits
Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave.
