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Hudson Talent SolutionsVerified Job Source

Staff Software Engineer, AI

Lead the design, development, and scaling of enterprise AI solutions, including RAG architectures and agent-based workflows. Translate emerging AI capabilities into production-grade products for legal, tax, risk, and compliance professionals.

  • On-site
  • Toronto, ON
  • Posted Sep 3, 2026
  • Apply by Oct 3, 2026
  • 1 position

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Job summary

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 experience 4+ years in AI/ML-focused engineering roles Expert-level Python Generative AI, LLMs, and RAG architectures AI agent frameworks and orchestration Distributed systems and large-scale system design Cloud platforms (AWS, Azure, or GCP) Kubernetes, Docker, Terraform MLOps / LLMOps Production AI deployments Preferred Experience OpenAI, Anthropic, Claude, Gemini, or similar LLM platforms Vector databases, embeddings, and semantic search Enterprise AI governance and model risk management AI product launches and production scaling Experience in legal, tax, accounting, compliance, or other regulated industries Speaking, publishing, or thought leadership within the AI space Target Titles Staff AI Engineer Principal AI Engineer Staff Software Engineer Lead AI Engineer AI Platform Engineer Staff Machine Learning Engineer Applied AI Engineer AI Systems Engineer Ideal 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 only Academic AI backgrounds with limited software engineering depth No production AI deployment experience No large-scale architecture experience Frontend-heavy backgrounds LinkedIn Skills I Would Add Required Python Artificial Intelligence (AI) Generative AI Machine Learning Nice to Have AWS Kubernetes Large Language Models (LLM) Retrieval-Augmented Generation (RAG)

What you’ll do

Lead the design, development, and scaling of enterprise AI solutions, including RAG architectures and agent-based workflows. Translate emerging AI capabilities into production-grade products for legal, tax, risk, and compliance professionals.

Requirements

Requires 8+ years of software engineering experience with at least 4 years focused on AI/ML. Expertise in Python, LLMs, and cloud platforms is essential, with a strong emphasis on production-scale deployment experience.

Listed skills

  • KubernetesPreferred
  • DockerPreferred
  • Machine learningPreferred
  • Amazon Web ServicesPreferred
  • TerraformPreferred
  • PythonPreferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Python
  • Artificial Intelligence
  • Generative AI
  • Machine Learning
  • AWS
  • Kubernetes
  • Large Language Models
  • Retrieval-Augmented Generation
  • Distributed Systems
  • System Design
  • Docker
  • Terraform
  • MLOps
  • LLMOps
  • Vector Databases
  • AI Agent Frameworks

Job areas

  • Software
  • Technology
  • Engineering
  • Data & Analytics
  • Legal

Additional details

Minimum experience
10+ years
Apply by
Oct 3, 2026
Posting language
English
Working hours
40 hours per week
Seniority
Executive
Application method
Direct apply is available