Principal Architect – AI Platform

Job not on LinkedIn

🔥 0 minutes ago

🏄 California, Florida, +3 more states – Remote

🏄 California – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🤠 Texas – Remote

💵 $112.2k - $209k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 0%

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BMO U.S.

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🛡️ Insurance

💼 Consulting

📦 Logistics

Insurance • Consulting • Logistics

BMO U. S. is a diversified financial services company operating in the United States. It offers a broad range of financial products and services including personal and business banking, mortgage services, investments, financial planning, insurance, and wealth management. Additionally, it provides commercial loans, commercial mortgages, and other financial solutions tailored for small businesses and large enterprises. The company places a strong emphasis on customer service and offers digital and cross-border banking solutions to meet the needs of diverse clients. BMO U. S. is also involved in asset management and capital markets operations, making it a full-service financial institution.

📋 Description

• Own architectural coherence for AI across BMO's cloud and workspace estates, spanning AWS, Azure, Microsoft 365, and SaaS AI surfaces • Provide singular architectural oversight across the AI Engineering function and Cloud AI and Workspace Engineering • Serve as standing architectural authority to the Microsoft AI Council • Prepare cross-organizational architecture decisions for Council ratification and escalate unresolved matters to Engineering leadership and Enterprise Architecture • Define and maintain the enterprise target AI architecture, reference architectures, standards, and platform guardrails • Set architectural direction across Directors, squads, Security, DevOps, and Data Engineering • Resolve competing approaches into a coherent architecture • Review major AI initiative designs for coherence, scalability, security, cost, residency, Responsible AI, and regulatory fit • Represent major AI initiatives at the Architecture Review Board • Own architectural coherence of BMO's Microsoft AI surface, including Copilot, Copilot Studio, Fabric Copilot, Microsoft Agent 365, the Three-Zone citizen governance framework, and AI Registry federation • Lead assessment of emerging AI capabilities, foundation models, and architectural approaches • Partner with AI Platform & Fabrics to align Gateway, Policy Engine, Identity Fabric, Registry, Guardrails, and Observability with the target architecture • Partner with AI Developer Experience and Domain Solution Architects to ensure domain patterns conform to the target architecture • Mentor architects and principal engineers and grow architectural capability and consistency • Establish and steward transition architecture for AI-incubated, bank-wide-eligible platforms as they mature toward enterprise ownership

🎯 Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline (Master's preferred) • 10+ years in software engineering, solution architecture, and enterprise architecture • Substantial experience at a principal/senior architect level setting direction across multiple teams • 3+ years focused on AI/ML and GenAI architecture • Hands-on exposure to production GenAI systems, including RAG, agentic workflows, model serving, and guardrails • Experience holding cross-team or cross-organizational architectural authority • Experience architecting AI in a regulated industry; financial services strongly preferred • Working understanding of model-risk management and regulatory expectations, including OSFI, OCC, or equivalent • Deep AI/ML and GenAI solution architecture knowledge: RAG, agentic frameworks, prompt patterns, fine-tuning, foundation models, embeddings, and vector stores • Strong AI platform architecture knowledge, including AI gateways, policy-as-code/authorization, workload identity, zero-trust, guardrails, and AI observability • Multi-cloud architecture experience across AWS and Azure • Experience with Microsoft AI surfaces including M365 Copilot, Copilot Studio, Fabric, and Agent 365 • Cloud security and IAM applied to AI workloads • Integration architecture using APIs, event-driven patterns, and data services • Working knowledge of MLOps/LLMOps and CI/CD • Sufficient hands-on fluency, with Python preferred, to prototype and evaluate approaches • Deep grounding in Responsible AI, AI/data governance, privacy, and evaluation/guardrail design • Experience embedding regulatory and model-risk evidence requirements into architecture • Strong interpersonal, communication, and facilitation skills • Critical thinking, research, analytical, and problem-solving skills • Self-directed and comfortable operating with broad mandate and ambiguity • Able to work under tight timelines on complex, high-stakes decisions

🏖️ Benefits

• Performance-based incentives • Discretionary bonuses • Health insurance • Tuition reimbursement • Accident insurance • Life insurance • Retirement savings plans • In-depth training and coaching • Manager support • Network-building opportunities • Tools and resources to reach new milestones