Staff Software Engineer, AI
Thomson Reuters5 days ago
Toronto, CanadaStaff+
Responsibilities
- Architect, build, and scale enterprise AI systems, including multi-component pipelines, RAG architectures, and autonomous AI agents.
- Lead AI model adaptation and customization for legal, tax, fraud, compliance, and other specialized domains.
- Define technical standards, architecture practices, evaluation approaches, and AI technology roadmaps.
- Drive proof-of-concept projects, technical feasibility assessments, and adoption of emerging AI techniques.
- Integrate AI models into production systems using APIs, data pipelines, and cloud-native architectures.
- Manage the lifecycle of enterprise AI applications through MLOps/LLMOps, deployment, metrics, and evaluations.
- Mentor senior and junior software engineers and lead technical initiatives.
- Partner with researchers, product, design, engineering leadership, and senior stakeholders to shape AI products and strategy.
- Represent the organization in executive forums, industry conferences, and other public technical settings.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience; a master’s degree is preferred.
- 8+ years of software engineering experience, including at least 4 years in senior or lead AI/ML-focused roles.
- Experience with Generative AI, RAG, LLMs, agentic tools, evaluations, deployment, solution lifecycle management, and metrics.
- Expert-level Python proficiency and extensive experience with PyTorch, TensorFlow, and JAX.
- Deep understanding of machine learning principles, advanced evaluation methodologies, and distributed system design.
- Proven experience with MLOps/LLMOps and the complete lifecycle of enterprise AI applications.
- Advanced experience with AWS, Azure, GCP, Docker, Kubernetes, and Terraform.
- Experience leading teams that build AI-driven systems, agent-based architectures, or enterprise integrations with AI APIs from providers such as OpenAI and Anthropic.
- Advanced knowledge of vector databases, embeddings, semantic search, and information retrieval systems.
- Domain expertise in legal, tax, accounting, or other regulated industries.
- Track record of launching AI products and scaling AI systems for enterprise customers.
- Experience with AI governance, model risk management, regulatory compliance, and innovative LLM-based solutions.
- Publications, patents, speaking experience, strong communication skills, and experience influencing senior stakeholders are valued.
Benefits
- Flexible hybrid work model for office-based roles.
- Work-from-anywhere flexibility for up to 8 weeks per year and supportive work-life balance policies.
- Career development, continuous learning, and skills-development programs.
- Comprehensive benefits including flexible vacation, two company-wide mental health days, Headspace access, retirement savings, tuition reimbursement, incentive programs, and wellbeing resources.
- Two paid volunteer days annually and opportunities for pro-bono consulting and ESG initiatives.
Tech Stack
Categories
About Thomson Reuters
Thomson Reuters (TSX/NDAQ: TRI) informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. For more information on Thomson Reuters, visit tr.com and for the latest world news, reuters.com.