Principal Architect AI Platform

Singular mandate

Define and maintain the target AI architecture for the enterprise: reference architectures, architectural standards, and the guardrails that governed platform capabilities and domain workloads must conform to.
Provide architectural governance for major AI initiatives: reviewing designs for coherence, scalability, security, cost, Responsible AI, and regulatory fit and represent them at Architecture Review Board.
Own the architectural coherence of BMO's Microsoft AI surface (Copilot, Copilot Studio, Fabric Copilot, Microsoft Agent 365) across the two operating organizations, including the Three-Zone citizen governance framework and federation with the AI Registry.

What You'll Do

Set architectural direction across the function's Directors and squads (Platform & Fabrics, Developer Experience) and across sibling disciplines (Security, DevOps, Data Engineering), resolving competing approaches into a coherent whole.
Lead assessment of emerging AI capabilities, foundation models, and architectural approaches; translating rapid market change into deliberate, defensible architectural positions for the bank.
Partner with AI Platform & Fabrics to ensure platform capabilities (Gateway, Policy Engine, Identity Fabric, Registry, Guardrails, Observability) realize the target architecture, and with AI Developer Experience / Domain Solution Architects to ensure domain patterns conform to it.
Provide architectural mentorship and technical leadership to architects and principal engineers across the function, growing architectural capability and consistency.
Establish and steward the transition architecture for AI-incubated, bank-wide-eligible platforms (Identity Fabric, Policy Engine) as they mature toward enterprise ownership.

Required Core Skills

Architectural Authority & Leadership
Proven ability to establish architectural coherence across multiple teams and organizations: defining target-state architecture, standards, and governance that hold under contested decisions.
Executive presence and influence: the credibility to advise Directors and senior executives, the judgment to make defensible decisions under ambiguity, and the diplomacy to align organizations with different mandates.
Strong mentoring and technical leadership across architects and principal engineers; ability to raise the architectural bar across a function.
Skilled at chairing/supporting governance forums, preparing decisions for ratification, and managing structured escalation.

AI & Platform Architecture Depth

Deep AI/ML and GenAI solution architecture: RAG, agentic frameworks, prompt patterns, fine-tuning, foundation models, embeddings, and vector stores.
Strong grasp of AI platform architecture: AI gateways, policy-as-code/authorization (Cedar, OPA), workload identity and zero-trust (SPIFFE/SPIRE, federated identity), guardrails, and AI observability.
Multi-cloud architecture across AWS and Azure, plus Microsoft AI surfaces (M365 Copilot, Copilot Studio, Fabric, Agent 365); cloud security and IAM as applied to AI workloads.
Integration architecture connecting AI to enterprise systems via APIs, event-driven patterns, and data services.
Working knowledge of MLOps/LLMOps, CI/CD, and how architectural decisions translate into deployable, operable patterns.
Sufficient hands-on fluency (Python preferred) to prototype, evaluate approaches, and earn engineering credibility.

Governance & Responsible AI

Deep grounding in Responsible AI, AI/data governance, privacy, and evaluation/guardrail design.
Experience embedding regulatory and model-risk evidence requirements into architecture, produced at runtime rather than retroactively.

Education & Experience

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, with substantial time at a principal/senior architect level setting direction across multiple teams.
3+ years focused on AI/ML and GenAI architecture, including hands-on exposure to production GenAI systems (RAG, agentic workflows, model serving, guardrails).

Salary

$112,200.00 - $209,000.00