Software Engineer – AI; Westlaw AI
Remote / Online - Candidates ideally in
Frisco, Collin County, Texas, 75034, USA
Listed on 2025-12-13
Frisco, Collin County, Texas, 75034, USA
Listing for:
Thomson Reuters
Part Time, Remote/Work from Home
position Listed on 2025-12-13
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
Staff Software Engineer – AI (Westlaw AI)
Join Thomson Reuters as a Staff Software Engineer – AI, where you will develop AI‑driven software that transforms how professionals work. This role involves leading the development of intelligent systems across legal, tax, risk, and compliance domains.
Responsibilities- 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.
- 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.
- 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.
- 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.
- 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.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience;
Master’s 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, Tensor Flow, JAX).
- Deep understanding of LLM architectures, advanced training methodologies, and distributed agent system design.
- 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.
- Hybrid Work Model:
Flexible hybrid working environment (2‑3 days a week in the office depending on the role). - Flexibility & Work‑Life Balance:
Flex My Way policies, work from anywhere for up to 8 weeks per year. - Career Development and Growth:
Continuous learning programs and skills‑first…
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