{"id":1159652,"url":"https://alion.io/job/bank-of-montreal-principal-cloud-engineer-ai","title":"Principal Cloud Engineer AI","company":{"id":5642,"name":"Bank of Montreal","domain":"bmo.com","url":"https://alion.io/company/bmo","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":68,"ghost_share":0,"stale_share":0.029,"repost_share":0.015,"time_to_fill_p50_days":16,"computed_at":"2026-09-23T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States","San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"Defense in Depth","optional":false},{"name":"Edge AI","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"Feature Store","optional":false},{"name":"FinOps","optional":false},{"name":"GitOps","optional":false},{"name":"Go","optional":false},{"name":"IAM","optional":false},{"name":"KServe","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Milvus","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SBOM","optional":false},{"name":"Service Mesh","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"Terraform","optional":false},{"name":"Triton","optional":false},{"name":"TypeScript","optional":false},{"name":"Vault","optional":false},{"name":"vLLM","optional":false},{"name":"Apache Kafka","optional":true},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"Grafana","optional":true},{"name":"Hugging Face","optional":true},{"name":"MLFlow","optional":true},{"name":"NCCL","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prometheus","optional":true},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-09-23T23:06:48Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T03:46:47Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Application Deadline:\n11/30/2026Address:\n320 S Canal StreetJob Family Group:\nData Analytics & ReportingThe Team - We accelerate BMO’s AI journey by building cloud-native AI solutions. Our team combines engineering excellence with cutting-edge AI to deliver scalable, secure, and responsible solutions that power business innovation across the bank. We enable and accelerate our partners on their AI journeys across the enterprise, helping teams across BMO unlock value at scale. We support one another in times of need and take pride in our work. We are engineers, AI practitioners, platform builders, thought leaders, multipliers, and coders. Above all, we are a global team of diverse individuals who enjoy working together to create smart, secure, and scalable solutions that make an impact across the enterprise. Our ambition is bold: deploy our capital and resources to their highest and most profitable use through a digital-first operating model, powered by data and AI-driven decisions. \nThe Impact \nAs a Principal AI & Cloud Engineer , you are a hands-on technical developer who designs, builds, and scales cloud-native AI solutions and products. You help set engineering standards, establish patterns, mentor senior engineers, and partner with multiple teams to deliver resilient, governed, and cost-efficient AI at enterprise scale. You’ll help shape and evolve our AI cloud strategy from model serving and LLMOps to security, observability, and compliance so teams across the bank can innovate safely and rapidly.\n You will advance BMO’s Digital First strategy by:\nDefining reference and production-grade solutions for AI/GenAI on cloud (Azure/AWS preferred; multi-cloud aware).\nBuilding reusable, secure, and observable components (APIs, SDKs, microservices, pipelines).\nOperationalizing LLMs and RAG with strong controls and Responsible AI guardrails.\nDriving platform roadmaps that enable faster delivery, lower risk, and measurable business outcomes.\nWhat’s In It for You\nInfluence the technical direction of AI and the platform primitives others build on.\nShip high-impact systems used across many business lines and products.\nWork across the full stack: cloud infra, data/feature pipelines, model serving, LLMOps, and DevSecOps.\nPartner with a leadership team invested in your growth and thought leadership.\nResponsibilities Infrastructure & Platform Builder\nDesign, build, and operate cloud-native AI infrastructure for ML/GenAI workloads:\nCompute: GPU/CPU clusters, autoscaling, spot instance strategies\nNetworking: Azure VNet, Private Link, peering, multi-region HA/DR\nStorage & Databases: high-performance data lakes (e.g., Azure Data Lake Storage), relational DBs, vector DBs (FAISS, Milvus, Pinecone, pgvector)\nSecurity: IAM, Key Vault-backed secrets management, encryption, policy-as-code\nImplement observability and reliability for AI infra:\nMetrics (latency, throughput, GPU utilization, cost)\nLogging/tracing (OpenTelemetry), SLOs/SLIs for infra services\nBuild CI/CD and GitOps pipelines for infrastructure-as-code (Terraform/Bicep) and AI platform components\nDrive FinOps for AI infra: GPU rightsizing, caching, inference optimization, cost governance\nApplication & Service Enablement\nEnable frontend and backend services for AI platforms:\nSecure APIs, microservices, and event-driven architectures\nIntegration with custom model runtimes (TensorRT-LLM, vLLM, Triton/KServe)\nProvide infrastructure support for RAG systems: embeddings, chunking, retrieval pipelines\nEnsure scalable serving infrastructure for LLMs and ML models with caching and token optimization\nStrategy & Architecture\nDefine and evolve AI infrastructure reference architecture for cloud (Azure preferred):\nContainer orchestration (Kubernetes), service mesh, ingress\nServerless/event-driven patterns for AI pipelines\nMulti-region, HA/DR, compliance-ready designs\nEstablish standards and best practices for containerization, IaC, and secure networking for AI systems\nSecurity, Risk & Governance\nImplement defense-in-depth for AI infra:\nIAM least privilege, private networking, KMS/Key Vault, SBOM, image signing\nEnsure compliance and Responsible AI controls at infra level:\nData residency, encryption, lineage, audit readiness\nDelivery & Operations\nLead infrastructure discovery and solution design with stakeholders\nOperate platforms with SRE principles: error budgets, incident response, chaos testing\nMentor engineers; create reusable IaC modules, templates, and golden paths\nMust-Have Qualifications\nBachelor’s/Master’s/PhD in CS, Engineering, or related field\n7+ years building large-scale distributed cloud infrastructure\n5+ years hands-on with Azure/AWS\nProven experience with AI/ML infra: GPU clusters, Kubernetes, CI/CD, observability\nStrong in IaC (Terraform/Bicep), Kubernetes, networking, security\nExpertise in cloud-native patterns: containers, service mesh, serverless\nFamiliarity with MLOps/LLMOps infra: model serving, feature stores, vector DBs\nProgramming in Python (infra automation) and one of Go/TypeScript for tooling\nUnderstanding of frontend/backend integration for AI services\nFamiliarity with MLOps/LLMOps infra: model serving, feature stores, vector DBs\nProgramming in Python (infra automation) and one of Go/TypeScript for tooling\nUnderstanding of frontend/backend integration for AI services\nNice-to-Have\nGPU optimization (CUDA/NCCL, TensorRT-LLM)\nObservability tools (Prometheus, Grafana, OpenTelemetry)\nEvent streaming (Kafka/Azure Event Hubs), real-time systems\nExperience with AI platform products (Azure ML, MLflow, KServe, Hugging Face)\nSuccess Metrics\nReliability & Performance: SLOs met for infra services, GPU utilization optimized\nSecurity & Compliance: Zero critical findings, auditable infra\nCost Efficiency: Reduced GPU/infra spend via FinOps strategies\nDeveloper Velocity: Faster provisioning and deployment of AI infra\nTechnical Leadership: Influence on infra standards, mentorship, reusable patterns\nSalary:\n$120,000.00 - $250,000.00Pay Type:\nSalariedThe above represents BMO Financial Group’s pay range and type.\nSalaries 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.\nBMO 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://jobs.bmo.com/global/en/Total-Rewards\nAbout Us\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.\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.\nTo find out more visit us at http://jobs.bmo.com/us/en\nBMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.\nBMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to  and let us know the nature of your request and your contact information.\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.","description_format":"text","description_chars":9025,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Health insurance","Life insurance","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Banking","Asset Management"],"lifecycle":[{"event":"open","at":"2026-09-23T23:06:48Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":16,"reasons":["conf:0","win:early","comp:brand"],"computed_at":"2026-09-24T03:54:48Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/bank-of-montreal-principal-cloud-engineer-ai","json_url":"https://alion.io/job/bank-of-montreal-principal-cloud-engineer-ai.json","meta":{"generated_at":"2026-09-24T03:54:48Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}