Senior Platform Engineer, AI & Fabrics
BMO Financial Group1 day ago
Toronto, CanadaSenior
Base Salary
$70k - $150k/yr
Responsibilities
- Own and deliver platform components and features from design through production operation.
- Build APIs, MCP servers, integrations, gateways, and tooling consumed by domains, DevOps pipelines, and enterprise systems.
- Develop policy engines, identity fabric, observability and audit pipelines, registries, guardrails, orchestration gateways, and governance tooling.
- Write clean, tested, maintainable, and well-instrumented production code with metrics, tracing, resilience, and latency-aware design.
- Participate in deployments, monitoring, incident response, on-call support, and production operations.
- Produce runtime evidence connecting AI activity to policy enforcement, identity, lineage, model-risk review, and regulatory requirements.
- Contribute to technical decisions under the direction of Principal Engineers and Leads.
- Mentor junior engineers and collaborate with AI Developer Experience, AI Security, and AI SDLC teams.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline; a master's degree is an asset.
- At least 5 years of software or platform engineering experience building and operating production services.
- Production operations experience with deployments, monitoring, incident response, and on-call responsibilities.
- Hands-on depth in at least one area: API or gateway services, policy-as-code or authorization, workload identity or security, observability or telemetry, or audit and data platforms.
- Strong software engineering fundamentals, API design skills, and understanding of distributed-systems concepts such as latency, resilience, and availability.
- Strong programming skills in Python and/or Go; TypeScript or Java experience is an asset.
- Experience with AWS and/or Azure, containers or Kubernetes, infrastructure as code, CI/CD, GitOps, and DevSecOps.
- Experience with Git-based workflows, Jira, and Confluence.
- Knowledge of authorization systems such as Cedar or OPA/Rego, or comparable systems.
- Knowledge of identity and security technologies including SPIFFE/SPIRE, mTLS, OAuth/OIDC, token exchange, or federated identity.
- Knowledge of OpenTelemetry, distributed tracing, Dynatrace or Splunk, or equivalent observability and audit technologies.
- Experience with API gateways, LLM routing or abstraction, prompt-injection or PII defenses, AI evaluation, service catalogues, asset registries, or lifecycle workflows.
- Working knowledge of GenAI platform patterns including AI gateways, RAG, agentic patterns, embeddings, and guardrails.
- Familiarity with Bedrock, Azure OpenAI, SageMaker, MLflow, LangChain, or LlamaIndex is an asset.
- Awareness of responsible AI, AI and data governance, privacy, cloud security, and IAM for AI workloads.
- AWS Certified Solutions Architect, AWS ML Specialty, Microsoft Certified Azure AI Engineer Associate, or Azure Solutions Architect certification is preferred.
Benefits
- Hybrid work model.
- Health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans.
- Training, coaching, manager support, and network-building opportunities.
- Application deadline is December 30, 2026.
Tech Stack
About BMO Financial Group
BMO Financial Group is a publicly traded North American bank offering personal and commercial banking, wealth management, and capital markets services to consumers, businesses, and institutions. Founded in 1817 and headquartered in Toronto, it operates in Canada and the United States, including BMO Bank N.A. in the U.S. The company is listed on the NYSE and TSX under the symbol BMO.