Senior Platform Engineer , you will help design, build, and evolve Compass Digital Labs' AI platform for LLM-powered applications and agentic systems . Working closely with platform, data, product, security, and engineering teams, you will enable AI copilots, operational automation, and intelligent customer experiences across our digital ecosystem. Build and maintain a secure integration layer that connects models to internal APIs, data products, and enterprise systems using patterns such as Model Context Protocol (MCP), OpenAPI-defined tools, and event-driven services .

Establish evaluation frameworks and regression tests for response quality, task success, reliability, and safety; use offline and online evals to continuously improve production performance. Implement guardrails and governance controls for identity-aware access, PII handling, content safety, prompt and tool security, auditability, and compliance. Create end-to-end observability for prompts, tool invocations, agent traces, latency, failure analysis, and token or cost usage to support debugging and production operations.

Automate platform provisioning and deployment using Terraform, containers, CI/CD, and cloud-native services . Optimize model selection, throughput, latency, resilience, and cost efficiency across AI workloads. Collaborate with data and ML teams to expose governed structured and unstructured data to AI applications in a protected, reusable way.

Help define reusable standards, platform patterns,



and engineering best practices for building reliable AI and agent-based systems at scale. Proven experience building or operating production AI/LLM platforms , developer platforms, or complex distributed systems. Strong hands-on experience with Python and API or service development;

experience with TypeScript, Go, or Java is a plus.

Experience with AWS and modern platform infrastructure, including containers, serverless services, Kubernetes, networking, and IAM. Understanding of evaluation, prompt testing, offline benchmarks, and release guardrails for AI systems. Strong grasp of security, privacy, and governance for AI systems, including secrets management, RBAC, data protection, and responsible AI controls.

Ability to work cross-functionally with product, data, ML, and platform teams and translate emerging AI capabilities into reliable platform services. Bachelor's degree or equivalent in Computer Science, Engineering, or a related field .

Experience building internal developer platforms or self-service tooling for AI teams. Familiarity with data platform concepts such as dbt, Spark, Apache Iceberg, or data product design .

Position Title: Senior Platform Engineer Bonus Eligibility, 4 Weeks Vacation, RRSP and more!

Employment Type: Full Time, Permanent Remote: Canada Only Final compensation will be determined based on qualifications, experience, and internal equity. Canadian work experience is not required. Please note that artificial intelligence tools are utilized in the applicant screening proces

📌 Senior Platform Engineer-Cloud (Toronto)
🏢 Socket.dev
📍 Toronto