Summary
✨ AI‑Generated
A staff-level software engineering role leading the design and scaling of enterprise AI systems. You will build production-grade generative AI applications, RAG architectures, and agent-based workflows while working with Python, cloud platforms, distributed systems, container orchestration, infrastructure as code, and modern MLOps practices.
Highlights
Staff-level technical leadership focused on production-grade AI systems, combining deep software engineering with generative AI, RAG, agentic workflows, cloud infrastructure, and large-scale distributed systems.
Description
We're seeking a Staff Software Engineer, AI to help lead the design, development, and scaling of enterprise AI solutions at Thomson Reuters.
This is a senior technical leadership role focused on building production-grade AI systems, RAG architectures, agent-based workflows, and LLM-powered applications that support legal, tax, risk, and compliance professionals.
The ideal candidate combines deep software engineering expertise with hands-on experience delivering AI products at scale.
Required Experience
8+ years software engineering experience4+ years in AI/ML-focused engineering rolesExpert-level PythonGenerative AI, LLMs, and RAG architecturesAI agent frameworks and orchestrationDistributed systems and large-scale system designCloud platforms (AWS, Azure, or GCP)Kubernetes, Docker, TerraformMLOps / LLMOpsProduction AI deploymentsPreferred Experience
OpenAI, Anthropic, Claude, Gemini, or similar LLM platformsVector databases, embeddings, and semantic searchEnterprise AI governance and model risk managementAI product launches and production scalingExperience in legal, tax, accounting, compliance, or other regulated industriesSpeaking, publishing, or thought leadership within the AI spaceTarget Titles
Staff AI EngineerPrincipal AI EngineerStaff Software EngineerLead AI EngineerAI Platform EngineerStaff Machine Learning EngineerApplied AI EngineerAI Systems EngineerIdeal Candidate
Looking for engineers who have built and scaled production AI systems, can drive technical strategy, mentor engineers, influence architecture decisions, and translate emerging AI capabilities into enterprise-ready products.
Red Flags
Prompt engineering onlyAcademic AI backgrounds with limited software engineering depthNo production AI deployment experienceNo large-scale architecture experienceFrontend-heavy backgroundsLinkedIn Skills I Would Add
Required
PythonArtificial Intelligence (AI)Generative AIMachine LearningNice to Have
AWSKubernetesLarge Language Models (LLM)Retrieval-Augmented Generation (RAG)
