Principal Architect – AI Platform

🔥 0 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $112.2k - $209k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 0%

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BMO

WebsiteLinkedInAll Job Openings

10,000+ employees

🏦 Banking

💸 Finance

🔥 Funding within the last year

💰 $142.9M Post IPO debt on 2025-11

Banking • Finance

BMO is the Bank of Montreal, a major Canadian financial institution that provides retail and commercial banking services in Canada and the United States. The provided site text highlights separate Canadian and U. S. banking experiences and bilingual (English/French) support, indicating a consumer-facing bank serving individuals and businesses across North America.

📋 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 adjudicate Microsoft AI boundary questions • Evaluate preview AI features against bank governance and escalate unresolved matters to Engineering leadership and Enterprise Architecture • Define and maintain the enterprise target AI architecture, reference architectures, standards, and guardrails • Set architectural direction across Directors, squads, Security, DevOps, and Data Engineering • 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, and Microsoft Agent 365 • 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 • Ensure domain patterns conform to the target architecture • Mentor architects and principal engineers across the function • 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 • 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 such as OSFI and OCC • 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, Cedar, OPA, workload identity, zero-trust, SPIFFE/SPIRE, federated identity, guardrails, and AI observability • Multi-cloud architecture across AWS and Azure • Experience with Microsoft AI surfaces: 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 to prototype and evaluate approaches; Python preferred • 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 a broad mandate and ambiguity • Ability to work under tight timelines on complex, high-stakes decisions • AWS Certified Solutions Architect – Professional or AWS Certified Machine Learning – Specialty strongly preferred • Microsoft Certified: Azure Solutions Architect Expert or Azure AI Engineer Associate strongly preferred • Google Cloud Professional Machine Learning Engineer strongly preferred • TOGAF or equivalent enterprise architecture certification strongly preferred • Relevant GenAI/LLM credentials strongly preferred

🏖️ Benefits

• Performance-based incentives • Discretionary bonuses • Health insurance • Tuition reimbursement • Accident and life insurance • Retirement savings plans • In-depth training and coaching • Manager support • Network-building opportunities • Tools and resources to reach new milestones • Reasonable accommodations for individuals with disabilities