[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-senior-platform-engineer-ai-fabrics-bank-of-montreal-en-ca":3},{"id":4,"slug":5,"title":6,"description":7,"company":8,"is_featured":11,"featured_until":7,"is_active":12,"deactivated_at":7,"is_enriched":12,"processed_job_posting_json":13,"processed_latitude":108,"processed_longitude":109,"processed_employment_types":110,"processed_working_hours":111,"processed_working_hours_labels":113,"processed_home_office":114,"processed_salary_min":105,"processed_salary_max":106,"processed_salary_currency":102,"processed_salary_source":115,"processed_benefits":116,"processed_benefits_labels":123,"processed_industry":124,"processed_skills":7,"processed_job_location":125,"processed_full_address_gmaps":127,"processed_street_gmaps":129,"processed_city_gmaps":131,"processed_postal_code_gmaps":132,"processed_country_gmaps":134,"processed_country_iso_code_gmaps":136,"full_description":17,"formatted_description":137,"processed_employment_types_labels":36,"processed_home_office_labels":34,"processed_industry_labels":38,"processed_it_skills":138,"processed_it_skills_labels":141,"processed_soft_skills":142,"processed_soft_skills_labels":143,"processed_job_expertise_skills":144,"processed_job_expertise_skills_labels":145,"processed_language_requirements":146,"processed_total_experience_years":157,"processed_professional_field":158,"processed_professional_field_labels":161,"processed_leadership_role":11,"processed_date_posted":20,"raw_job_url":162,"apply_url":7,"raw_hiringOrganization_logo_url":7,"translations":7,"canonical_industry_key":124,"canonical_industry_label":38,"max_cpc":163,"actual_cpc":7},81423,"senior-platform-engineer-ai-fabrics-bank-of-montreal","Senior Platform Engineer, AI & Fabrics",null,{"name":9,"slug":10,"logo_url":7},"Bank of Montreal","bank-of-montreal",false,true,{"@context":14,"@type":15,"title":16,"description":17,"hiringOrganization":18,"datePosted":20,"validThrough":21,"jobLocation":22,"jobLocationType":34,"employmentType":35,"industry":37,"skills":39,"baseSalary":100},"https:\u002F\u002Fschema.org\u002F","JobPosting","Senior Platform Engineer, AI & Fabrics","Application Deadline: 12\u002F30\u002F2026 Address: 100 King Street West Job Family Group: Technology Hybrid Work Model BMO is building the platform capabilities that make enterprise AI safe, governed, and scalable. We are seeking experienced Senior Engineers to help build and operate the core infrastructure that governs how AI runs at BMO: the AI Gateway, Policy Engine, Identity Fabric, AI Registry, Guardrails Runtime, and AI Observability. This is a build-and-run engineering role. You will design, implement, and operate significant components of these platform capabilities; writing production code, building integrations, and helping run what you. You will not build the AI models or applications themselves (those are domain-owned); you help build the governed platform they run on and the runtime evidence that proves they run within policy, across AWS, Azure, and Microsoft AI surfaces, under OSFI and OCC expectations. You are a hands-on engineer with a strong production track record who takes ownership of your components, cares about operability and correctness, and collaborates well within your team. You work within technical direction and standards set by the team's Principal Engineers and Leads, contribute to design discussions, and mentor more junior engineers. You are energized by hardening and scaling real engineering assets; an existing developer portal, an AI registry, a body of policy-as-code, and gateway integrations into enterprise-grade capabilities. What You'll Build & Operate Working within one of the platform squads, you will build and operate components of one or more of the following: Enterprise AI Control Plane Portal & Registry: features of the AI Registry (agents, models, tools, channels, evaluations), self-service onboarding flows, and lifecycle workflows; integrations with external registries. Policy Engine: components of the policy-as-code infrastructure (Cedar\u002FOPA), the compilation pipeline, GitOps-based distribution, and the policy simulation sandbox. Observability & Audit: telemetry pipeline components, OpenTelemetry GenAI instrumentation, trace correlation, and audit-lake ingestion supporting regulator-ready evidence. Governance & Lifecycle: certification workflow components, compliance-scoring automation, and evidence-generation tooling. AI Domain Orchestration Gateway Runtime: components of the inline enforcement engine: request-time policy evaluation, routing, residency, budget\u002Fquota, and circuit breaking, built to strict latency budgets; domain-hub deployment across AWS and Azure. Guardrails Runtime: stages of the safety pipeline (input moderation, prompt-injection defense, PII, output validation, hallucination detection, policy enforcement), including bilingual EN\u002FFR support. Identity Fabric: components of workload identity for AI (SPIFFE\u002FSPIRE), token-exchange flows, trust-boundary configuration, Entra Agent ID integration, and cross-cloud token federation. Note on scope: Two of these platforms (Identity Fabric, Policy Engine) are built with AI as the incubation context but are designed to transition to bank-wide ownership at maturity. What You'll Do Own and deliver components\u002Ffeatures within your squad's capability, design (with guidance), implement, test, ship, and help operate in production. Participate in on-call for the services your team runs. Build APIs, MCP Servers, integrations, and tooling through which domains, DevOps pipelines, and enterprise systems consume platform capabilities. Write clean, well-tested, well-instrumented code; build operability in from the start (metrics, tracing, SLO-aware design). Ensure your components produce the runtime evidence connecting AI activity to policy enforcement, identity, and lineage for model-risk and regulatory review. Contribute to design discussions and technical decisions, applying standards and patterns set by Principal Engineers and Leads. Mentor junior engineers and collaborate actively across the squad. Partner day-to-day with AI Developer Experience, AI Security, and AI SDLC counterparts as needed to deliver your work. Education & Experience Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline (Master's an asset). 5+ years of software\u002Fplatform engineering experience, including hands-on experience building and operating production services. Experience with production operations (deployments, monitoring, incident response, on-call), ideally in a regulated industry (financial services an asset). Hands-on depth in at least one of: API\u002Fgateway services; policy-as-code\u002Fauthorization; workload identity\u002Fsecurity; observability\u002Ftelemetry; audit\u002Fdata platforms. Required Core Skills Platform Engineering Foundations Solid software-engineering fundamentals: clean, tested, maintainable code; API design; and an understanding of distributed-systems concepts (latency, resilience, availability). Strong programming skills (Python and\u002For Go preferred; TypeScript\u002FJava an asset) for building services, APIs, and integrations. Working proficiency in cloud-native development on AWS and\u002For Azure: containers\u002FKubernetes and Infrastructure as Code (Terraform, CloudFormation\u002FARM). Practical CI\u002FCD, GitOps, and DevSecOps experience; Git-based workflows (Bitbucket\u002FGitHub), Jira, Confluence. Capability-Specific Depth (one or more) Policy\u002FAuthorization: Cedar, OPA\u002FRego, or comparable authorization systems. Identity\u002FSecurity: SPIFFE\u002FSPIRE, mTLS, OAuth\u002FOIDC, token exchange, or federated identity. Observability\u002FAudit: OpenTelemetry, distributed tracing, Dynatrace\u002FSplunk or equivalents, immutable\u002Faudit data stores. Gateway\u002FGuardrails: API gateway usage\u002Fdevelopment, LLM routing\u002Fabstraction, prompt-injection\u002FPII defenses, or AI evaluation. Registry\u002FPortal: service catalogues, asset registries, lifecycle\u002Fonboarding workflows. GenAI & Governance Context Working knowledge of GenAI platform patterns (LLM\u002FAI gateways, RAG, agentic patterns, embeddings, guardrails) sufficient to build supporting infrastructure. Familiarity with AI\u002FML tooling (Bedrock, Azure OpenAI, SageMaker, MLflow) and orchestration frameworks (LangChain, LlamaIndex) an asset. Awareness of Responsible AI, AI\u002Fdata governance, privacy, cloud security, and IAM as applied to AI workloads. Certifications (Preferred) AWS Certified Solutions Architect – Associate (Professional an asset) \u002F ML – Specialty Microsoft Certified: Azure AI Engineer Associate \u002F Azure Solutions Architect Expert Salary: $70,000.00 - $150,000.00 Pay Type: Salaried The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https:\u002F\u002Fjobs.bmo.com\u002Fglobal\u002Fen\u002FTotal-Rewards About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset. To find out more visit us at https:\u002F\u002Fjobs.bmo.com\u002Fca\u002Fen. BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes. BMO is a leading bank driven by a single purpose: to Boldly Grow the Good in business and life. Everywhere we do business, we’re focused on building, investing and transforming how we work to drive performance and continue growing the good. Who we are We’re proud to be fueling growth and expanding possibilities for individuals, families and businesses. More than 12 million customers count on us for personal and commercial banking, wealth management and investment services. As the 8th largest bank in North America by assets, we provide personal and commercial banking, wealth management and investment services to more than 12 million customers. In Canada, the United States and across the globe, we’ll continue to build, invest and transform to drive performance that serves the good that grows.",{"@type":19,"name":9},"Organization","2026-10-05","2027-10-05",[23],{"@type":24,"address":25,"geo":30},"Place",{"@type":26,"addressLocality":27,"addressCountry":28,"addressRegion":29},"PostalAddress","Toronto","CA","Ontario",{"@type":31,"latitude":32,"longitude":33},"GeoCoordinates",43.6488576,-79.3821042,"HYBRID",[36],"PERMANENT",[38],"Financial Services",[40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99],"Python","Go","TypeScript","Java","AWS","Azure","Kubernetes","Terraform","CloudFormation","ARM","CI\u002FCD","GitOps","DevSecOps","Git","Bitbucket","GitHub","Jira","Confluence","Cedar","OPA","Rego","SPIFFE","SPIRE","mTLS","OAuth","OIDC","OpenTelemetry","Dynatrace","Splunk","API Gateway","LLM Routing","RAG","Embeddings","Guardrails","Bedrock","Azure OpenAI","SageMaker","MLflow","LangChain","LlamaIndex","Ownership","Collaboration","Mentoring","Communication","Platform Engineering","Distributed Systems","API Design","Production Operations","Incident Response","On-call","Regulated Industry Experience","AI Governance","Responsible AI","Cloud Security","IAM","Policy as Code","Workload Identity","Observability","Audit","GenAI Platform Patterns",{"@type":101,"currency":102,"value":103},"MonetaryAmount","USD",{"@type":104,"minValue":105,"maxValue":106,"unitText":107},"QuantitativeValue",70000,150000,"YEAR",[32],[33],"permanent",[112],"FULL_TIME",[112],"hybrid","estimated",[117,118,119,120,121,122],"Health insurance","Tuition reimbursement","Accident and life insurance","Retirement savings plans","Performance-based incentives","Discretionary bonuses",[117,118,119,120,121,122],"financial services",[126],"bank, fcp, canada",[128],"100 King St W, Toronto, ON M5K 2A1, Kanada",[130],"King Street West 100",[27],[133],"M5K 2A1",[135],"Kanada",[28],"Application Deadline: 12\u002F30\u002F2026\n\nAddress: 100 King Street West\n\nJob Family Group: Technology\n\nHybrid Work Model\n\nBMO is building the platform capabilities that make enterprise AI safe, governed, and scalable. We are seeking experienced Senior Engineers to help build and operate the core infrastructure that governs how AI runs at BMO: the AI Gateway, Policy Engine, Identity Fabric, AI Registry, Guardrails Runtime, and AI Observability.\n\nThis is a build-and-run engineering role. You will design, implement, and operate significant components of these platform capabilities; writing production code, building integrations, and helping run what you. You will not build the AI models or applications themselves (those are domain-owned); you help build the governed platform they run on and the runtime evidence that proves they run within policy, across AWS, Azure, and Microsoft AI surfaces, under OSFI and OCC expectations.\n\nYou are a hands-on engineer with a strong production track record who takes ownership of your components, cares about operability and correctness, and collaborates well within your team. You work within technical direction and standards set by the team's Principal Engineers and Leads, contribute to design discussions, and mentor more junior engineers. You are energized by hardening and scaling real engineering assets; an existing developer portal, an AI registry, a body of policy-as-code, and gateway integrations into enterprise-grade capabilities.\n\n## What You'll Build & Operate\n\nWorking within one of the platform squads, you will build and operate components of one or more of the following:\n\n- **Enterprise AI Control Plane Portal & Registry:** features of the AI Registry (agents, models, tools, channels, evaluations), self-service onboarding flows, and lifecycle workflows; integrations with external registries.\n- **Policy Engine:** components of the policy-as-code infrastructure (Cedar\u002FOPA), the compilation pipeline, GitOps-based distribution, and the policy simulation sandbox.\n- **Observability & Audit:** telemetry pipeline components, OpenTelemetry GenAI instrumentation, trace correlation, and audit-lake ingestion supporting regulator-ready evidence.\n- **Governance & Lifecycle:** certification workflow components, compliance-scoring automation, and evidence-generation tooling.\n- **AI Domain Orchestration Gateway Runtime:** components of the inline enforcement engine: request-time policy evaluation, routing, residency, budget\u002Fquota, and circuit breaking, built to strict latency budgets; domain-hub deployment across AWS and Azure.\n- **Guardrails Runtime:** stages of the safety pipeline (input moderation, prompt-injection defense, PII, output validation, hallucination detection, policy enforcement), including bilingual EN\u002FFR support.\n- **Identity Fabric:** components of workload identity for AI (SPIFFE\u002FSPIRE), token-exchange flows, trust-boundary configuration, Entra Agent ID integration, and cross-cloud token federation.\n\nNote on scope: Two of these platforms (Identity Fabric, Policy Engine) are built with AI as the incubation context but are designed to transition to bank-wide ownership at maturity.\n\n## What You'll Do\n\n- Own and deliver components\u002Ffeatures within your squad's capability, design (with guidance), implement, test, ship, and help operate in production.\n- Participate in on-call for the services your team runs.\n- Build APIs, MCP Servers, integrations, and tooling through which domains, DevOps pipelines, and enterprise systems consume platform capabilities.\n- Write clean, well-tested, well-instrumented code; build operability in from the start (metrics, tracing, SLO-aware design).\n- Ensure your components produce the runtime evidence connecting AI activity to policy enforcement, identity, and lineage for model-risk and regulatory review.\n- Contribute to design discussions and technical decisions, applying standards and patterns set by Principal Engineers and Leads.\n- Mentor junior engineers and collaborate actively across the squad.\n- Partner day-to-day with AI Developer Experience, AI Security, and AI SDLC counterparts as needed to deliver your work.\n\n## Education & Experience\n\n- Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline (Master's an asset).\n- 5+ years of software\u002Fplatform engineering experience, including hands-on experience building and operating production services.\n- Experience with production operations (deployments, monitoring, incident response, on-call), ideally in a regulated industry (financial services an asset).\n- Hands-on depth in at least one of: API\u002Fgateway services; policy-as-code\u002Fauthorization; workload identity\u002Fsecurity; observability\u002Ftelemetry; audit\u002Fdata platforms.\n\n## Required Core Skills\n\n**Platform Engineering Foundations**\n\n- Solid software-engineering fundamentals: clean, tested, maintainable code; API design; and an understanding of distributed-systems concepts (latency, resilience, availability).\n- Strong programming skills (Python and\u002For Go preferred; TypeScript\u002FJava an asset) for building services, APIs, and integrations.\n- Working proficiency in cloud-native development on AWS and\u002For Azure: containers\u002FKubernetes and Infrastructure as Code (Terraform, CloudFormation\u002FARM).\n- Practical CI\u002FCD, GitOps, and DevSecOps experience; Git-based workflows (Bitbucket\u002FGitHub), Jira, Confluence.\n\n**Capability-Specific Depth (one or more)**\n\n- Policy\u002FAuthorization: Cedar, OPA\u002FRego, or comparable authorization systems.\n- Identity\u002FSecurity: SPIFFE\u002FSPIRE, mTLS, OAuth\u002FOIDC, token exchange, or federated identity.\n- Observability\u002FAudit: OpenTelemetry, distributed tracing, Dynatrace\u002FSplunk or equivalents, immutable\u002Faudit data stores.\n- Gateway\u002FGuardrails: API gateway usage\u002Fdevelopment, LLM routing\u002Fabstraction, prompt-injection\u002FPII defenses, or AI evaluation.\n- Registry\u002FPortal: service catalogues, asset registries, lifecycle\u002Fonboarding workflows.\n\n**GenAI & Governance Context**\n\n- Working knowledge of GenAI platform patterns (LLM\u002FAI gateways, RAG, agentic patterns, embeddings, guardrails) sufficient to build supporting infrastructure.\n- Familiarity with AI\u002FML tooling (Bedrock, Azure OpenAI, SageMaker, MLflow) and orchestration frameworks (LangChain, LlamaIndex) an asset.\n- Awareness of Responsible AI, AI\u002Fdata governance, privacy, cloud security, and IAM as applied to AI workloads.\n\n**Certifications (Preferred)**\n\n- AWS Certified Solutions Architect – Associate (Professional an asset) \u002F ML – Specialty\n- Microsoft Certified: Azure AI Engineer Associate \u002F Azure Solutions Architect Expert\n\nSalary: $70,000.00 - $150,000.00\n\nPay Type: Salaried\n\nThe above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https:\u002F\u002Fjobs.bmo.com\u002Fglobal\u002Fen\u002FTotal-Rewards\n\n## About Us\n\nAt BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.\n\nAs a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.\n\nTo find out more visit us at https:\u002F\u002Fjobs.bmo.com\u002Fca\u002Fen.\n\nBMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.\n\nNote to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.\n\nBMO is a leading bank driven by a single purpose: to Boldly Grow the Good in business and life. Everywhere we do business, we’re focused on building, investing and transforming how we work to drive performance and continue growing the good.\n\n## Who we are\n\nWe’re proud to be fueling growth and expanding possibilities for individuals, families and businesses. More than 12 million customers count on us for personal and commercial banking, wealth management and investment services. As the 8th largest bank in North America by assets, we provide personal and commercial banking, wealth management and investment services to more than 12 million customers. In Canada, the United States and across the globe, we’ll continue to build, invest and transform to drive performance that serves the good that grows.",{"go":139,"arm":139,"aws":139,"git":139,"opa":139,"rag":139,"java":140,"jira":139,"mtls":139,"oidc":139,"rego":139,"azure":139,"cedar":139,"ci\u002Fcd":139,"oauth":139,"spire":139,"github":139,"gitops":139,"mlflow":139,"python":139,"spiffe":139,"splunk":139,"bedrock":139,"bitbucket":139,"devsecops":139,"dynatrace":139,"langchain":139,"sagemaker":139,"terraform":139,"confluence":139,"embeddings":139,"guardrails":139,"kubernetes":139,"llamaindex":139,"typescript":140,"api gateway":139,"llm routing":139,"azure openai":139,"opentelemetry":139,"cloudformation":139},4,3,[40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79],{"ownership":139,"collaboration":139,"mentoring":139,"communication":139},[80,81,82,83],{"iam":139,"audit":139,"on-call":139,"api design":139,"ai governance":139,"observability":139,"cloud security":139,"policy as code":139,"responsible ai":139,"incident response":139,"workload identity":139,"distributed systems":139,"platform engineering":139,"production operations":139,"genai platform patterns":139,"regulated industry experience":139},[84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99],{"detected_language_jobad":147,"required":148},"en",[149,153],[150],{"language":151,"level":152},"ENGLISH","C1",[154],{"language":155,"level":156},"FRENCH","B2",5,[159,160],"Software and Applications Developers and Analysts","Information and Communications Technology Service Managers",[159,160],"https:\u002F\u002Fbmo.wd3.myworkdayjobs.com\u002Fen-us\u002Fexternal\u002Fjob\u002Ftoronto-on-can\u002Fsenior-platform-engineer--ai---fabrics_r260028371",1]