Role OverviewAs aSenior Platform Engineer, you will help design, build, and evolve Compass Digital Labs'AI platform for LLM-powered applications and agentic systems. You will create secure, scalable, production‑grade capabilities for orchestration, retrieval, tool integration, evaluation, observability, and governance. 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.Key ResponsibilitiesDesign and operate the core platform capabilities that powerLLM applications, copilots, and agentic workflowsacross multiple environments.Architectsingle‑agent and multi‑agent execution patterns, including tool calling, workflow routing, state management, and human‑in‑the‑loop checkpoints.Build and maintain a secureintegration layerthat connects models to internal APIs, data products, and enterprise systems using patterns such asModel Context Protocol (MCP), OpenAPI‑defined tools, and event‑driven services .Developretrieval and knowledge capabilitiesthat support grounded responses, including document ingestion, chunking, embeddings, vector search, metadata filtering, reranking, and source attribution.Establishevaluation frameworksand regression tests for response quality, task success, reliability, and safety; use offline and online evals to continuously improve production performance.Implementguardrails and governance controlsfor identity‑aware access, PII handling, content safety, prompt and tool security, auditability, and compliance.Create end‑to‑endobservabilityfor prompts, tool invocations, agent traces, latency, failure analysis,



and token or cost usage to support debugging and production operations.Automate platform provisioning and deployment usingTerraform, containers, CI/CD, and cloud‑native services .Optimizemodel selection, throughput, latency, resilience, and cost efficiencyacross AI workloads.Collaborate with data and ML teams to expose governed structured and unstructured data to AI applications in a safe, reusable way.Help define reusable standards, platform patterns, and engineering best practices for building reliableAI and agent‑based systemsat scale.QualificationsProven experience building or operatingproduction AI/LLM platforms, developer platforms, or complex distributed systems.Strong hands‑on experience withPythonand API or service development; experience withTypeScript, Go, or Javais a plus.Experience designingagentic systemsor advanced LLM applications that usetool calling, workflow orchestration, retrieval‑augmented generation (RAG), and state management .Familiarity with modern agent frameworks and platforms such asOpenAI Agents SDK, Amazon Bedrock Agents, LangGraph, or similar tooling .Solid understanding ofvector search, embeddings, knowledge base design, ranking/reranking, and grounded generation .Experience withAWSand modern platform infrastructure, including containers, serverless services, Kubernetes, networking,



and IAM.Experience withTerraformor similar Infrastructure‑as‑Code tools and strongCI/CDautomation practices.Understanding ofevaluation, prompt testing, offline benchmarks, and release guardrailsfor AI systems.Hands‑on experience withobservability toolingfor logs, metrics, tracing, and incident response.Strong grasp ofsecurity, privacy, and governancefor 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 inComputer Science, Engineering, or a related field .Nice to HaveExperience building internal developer platforms or self‑service tooling for AI teams.Experience with real‑time inference, streaming workflows, or event‑driven architectures.Familiarity with data platform concepts such asdbt, Spark, Apache Iceberg, or data product design .Background in hospitality, retail, or large‑scale enterprise environments.Position DetailsPosition Title: Senior Platform EngineerSalary: 130,000.00 - 160,000.00Perks: Bonus Eligibility, 4 Weeks Vacation, RRSP and more!Employment Type: Full Time, PermanentHybrid: 3 Times a Week - Toronto/ MississaugaRemote: Canada OnlyIn accordance with provincial legislation and our commitment to transparent hiring practices, the compensation range for this position is provided. 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 process.#J-18808-Ljbffr

📌 Senior Platform Engineer, Ai Platform - C$130,000 - C$160,000 A Year (Winnipeg)
🏢 Compass Digital Labs
📍 Winnipeg