AI Staff Engineer: Enterprise AI & RAG Systems

Thomson Reuters; Frisco (TX); Hybrid; USD 127,000 - 237,000; Full time

Benefits offered by this job

Hybrid Work Model

Flex My Way

Career Development

Benefits package

Culture of inclusion

Job summary

Thomson Reuters in the United States is seeking an AI Staff Engineer to define AI foundations powering Westlaw experiences. You will lead enterprise-scale AI systems, MLOps, and multi-component pipelines, partnering with research, engineering, and product teams to deliver trusted, scalable AI features.

This role offers hybrid work, competitive compensation, and opportunities to shape AI strategy across global legal research products.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience (Master’s preferred).
• 5+ years of software engineering experience, including 3 years in senior or lead roles on AI/ML systems.
• Track record as a software engineer with AI expertise (not primarily a data scientist or researcher), with hands‑on experience in generative AI, RAG, or LLM-based systems, covering discovery, architecture, agentic tools, evaluation, deployment, and metrics.
• Expert-level proficiency in Python or another object‑oriented language, with strong backend service and API design skills.
• Solid understanding of ML principles, evaluation methodologies, and distributed systems, plus working experience with AI/ML frameworks (e.g., PyTorch, TensorFlow).
• Advanced experience with AWS and with Docker, Kubernetes, and Terraform, and a record of integrating AI models into large-scale production systems through APIs, data pipelines, and cloud-native architectures.
• Strong technical leadership and mentoring experience as an individual contributor, with the communication skills to influence senior stakeholders.

Responsibilities

• Build and architect AI-driven systems – Design and lead the implementation of enterprise-scale AI systems, including multi-component pipelines, retrieval-augmented generation (RAG) and knowledge graph–based architectures, and autonomous AI agents with multi-step reasoning; stay hands-on across the stack, from AI orchestration and RAG through API gateways, microservices, and modern web UIs.
• Drive innovation and technical strategy – Evaluate and drive adoption of emerging AI techniques; run proof-of-concept work and assess technical feasibility for new AI-driven features; stay current with AI research and translate insights into technical roadmaps; represent the organization at industry conferences and events.
• Provide technical leadership – Help make design decisions and translate business requirements into scalable technical specifications; mentor senior and junior software engineers; champion MLOps and LLMOps practices and governance for the AI model lifecycle.
• Ensure quality, security, and operational excellence – Design and implement testing, monitoring, and observability for AI systems at scale; ensure compliance with ethical AI principles, security standards, and regulatory requirements.
• Lead cross-functional collaboration and drive business value delivery – Partner with AI researchers, engineering leadership, design, and product to turn AI capabilities into customer-facing applications; set technical priorities and stay engaged through delivery so AI investments produce measurable business value; optimize performance for latency, cost, and user experience; influence product strategy through technical depth.

Skills

AI/ML systems

Python

AWS

Docker

Kubernetes

Terraform

Mentoring

Education

Bachelor's degree in Computer Science or Engineering

Master’s preferred

Tools

Neo4j

PyTorch

TensorFlow

Job description

Thomson Reuters in the United States is seeking an AI Staff Engineer to define AI foundations powering Westlaw experiences. You will lead enterprise-scale AI systems, MLOps, and multi-component pipelines, partnering with research, engineering, and product teams to deliver trusted, scalable AI features.

This role offers hybrid work, competitive compensation, and opportunities to shape AI strategy across global legal research products.