Staff Software Engineer – AI (Westlaw AI)
Thomson ReutersAbout the role
Staff Software Engineer – AI
Are you passionate about building AI-driven software that transforms how professionals work? Join a dynamic and highly skilled team at Thomson Reuters, where we invest deeply in AI technologies and explore emerging fields with the backing of a global leader. As a Staff Software Engineer – AI, you will play a lead role in developing intelligent systems that power next-generation expert solutions across legal, tax, risk, and compliance domains.
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.
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.
About You
You are a fit for the position of Staff Software Engineer – AI if your background includes:
- Qualifications and Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience. Master’s degree preferred.
- 8+ years of experience in software engineering with at least 4 years in senior or lead roles focused on AI/ML.
- Expert-level proficiency in Python and extensive experience with AI/ML frameworks (PyTorch, TensorFlow, JAX).
- Deep understanding of LLM architectures, advanced training methodologies, and distributed agent system design.
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Preferred 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 d
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