What if the AI agents you architect empower legal professionals to act with sharper judgment and greater leverage, using tools that are themselves AI-native and multiply what you and your team can ship? Our agent platform team builds and ships using AI-native engineering practices: agentic coding tools that let a small, senior group move at a pace well beyond traditional engineering throughput. That's how this team builds the infrastructure, tooling, and observability our AI agents need to run reliably at scale, often several efforts at once. We're also in the middle of rethinking how we deploy and operate agents in production, pushing quality and safety checks earlier in the pipeline and raising our bar for release velocity and stability.

About The Role

Set technical architecture and direction across the team's highest-priority initiatives, spanning core agent infrastructure, recent internal tooling, and production reliability. Provide hands-on technical leadership wherever it matters most, flexing across the team's highest-priority initiatives rather than being locked into a single fixed workstream. Architect and build production AI agent systems on top of modern LLM APIs, agent SDKs, and orchestration/runtime infrastructure, designed to scale and integrate cleanly with existing platform services. Design agent observability and evaluation practices (tracing, automated evals, and quality/drift detection) so regressions in agent behavior get caught before they reach customers. Advance how the team deploys and operates AI agents in production, deepening practices like progressive/feature-flagged rollout and earlier-stage quality signals so releases get both faster and safer over time. Drive cross-cutting design reviews and technical decisions (RFCs/ADRs)



to keep new systems coherent as multiple initiatives move in parallel. Mentor and raise the technical bar for a senior engineering team, including how they use AI-native, agentic development practices to multiply their own output. Partner with product and engineering leadership to translate strategic priorities into concrete system architecture and sequencing decisions. About You

Extensive experience architecting and shipping production software systems, including hands-on experience building AI/LLM-powered products or agentic systems (not solely classical ML/data science). Direct experience building with modern LLM APIs, agent frameworks/SDKs, or agent-to-tool integration protocols. A track record of setting technical direction across multiple concurrent initiatives, not just delivering one project end-to-end. Strong backend engineering fundamentals, including distributed systems design, service architecture, and cloud infrastructure. Experience designing for production reliability and observability: monitoring, evaluation pipelines, incident response, and quality regression detection. Demonstrated ability to mentor senior engineers and influence technical culture and practices. Comfort operating with high autonomy on a fast-moving, senior-heavy team that builds with AI-native/agentic engineering practices. Additional Preferred Qualifications Include

Experience leading architecture for developer-facing platforms, plugin/extension systems,



or integration ecosystems. Familiarity with progressive delivery practices (feature flagging, phased rollout, blue/green deployment) at scale. Experience pushing a team toward elite software delivery practices: progressive delivery, shift-left quality/testing, and the kind of engineering discipline reflected in metrics like deployment frequency, lead time, and change failure rate. Experience with managed agent runtime infrastructure (e.g., AWS Bedrock AgentCore or similar). Domain expertise in legal, regulated, professional-services, or other fiduciary domains is a plus, but not required. New Position: This position is open due to an existing vacancy to support our evolving business needs. What’s in it For You?

Hybrid Work Model: We’ve adopted a versatile hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive

Benefits:

We offer
comprehensive benefit plans

📌 Lead Software Engineer, AI (Toronto)
🏢 Thomson Reuters
📍 Toronto