Principal Architect AI Platform
BMO Financial Group2 months ago
Base Salary
$112k - $209k/yr
Responsibilities
- Define and maintain the enterprise target AI architecture, reference architectures, architectural standards, and platform guardrails.
- Set architectural direction across AI platform, Developer Experience, Security, DevOps, Data Engineering, and domain solution teams.
- Govern major AI initiatives by reviewing designs for coherence, scalability, security, cost, residency, Responsible AI, and regulatory fit.
- Serve as architectural authority for Microsoft AI surfaces and prepare decisions for Microsoft AI Council ratification.
- Ensure the Control Plane, Domain Orchestration, and domain-owned execution form a coherent and governed architecture.
- Assess emerging AI capabilities, foundation models, and architectural approaches and establish defensible architectural positions.
- Guide implementation of AI gateways, policy engines, identity fabrics, registries, guardrails, and observability capabilities.
- Mentor architects and principal engineers and raise architectural consistency across the AI Engineering function.
- Establish transition architectures for AI-incubated platforms moving toward enterprise ownership.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline; a master’s degree is preferred.
- 10+ years of experience in software engineering, solution architecture, and enterprise architecture, including substantial principal or senior architect experience.
- 3+ years focused on AI/ML and GenAI architecture, including production exposure to RAG, agentic workflows, model serving, and guardrails.
- Experience establishing cross-team or cross-organizational architectural authority, standards, governance, and stakeholder alignment.
- Experience architecting AI in a regulated industry, preferably financial services, with knowledge of model-risk management and regulatory expectations.
- Strong experience with GenAI solution architecture, including RAG, agentic frameworks, prompt patterns, fine-tuning, foundation models, embeddings, and vector stores.
- Knowledge of AI platform architecture, policy-as-code and authorization, workload identity, zero-trust, guardrails, and AI observability.
- Experience with multi-cloud architecture across AWS and Azure and Microsoft AI surfaces.
- Knowledge of integration architecture, APIs, event-driven patterns, data services, MLOps/LLMOps, and deployable operational patterns.
- Sufficient hands-on fluency, preferably in Python, to prototype and evaluate technical approaches.
- Strong grounding in Responsible AI, AI/data governance, privacy, evaluation, guardrail design, and runtime regulatory evidence.
- Preferred certifications include AWS Certified Solutions Architect – Professional, AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure Solutions Architect Expert, Azure AI Engineer Associate, Google Cloud Professional Machine Learning Engineer, TOGAF or equivalent, and relevant GenAI/LLM credentials.
- Strong communication, facilitation, research, analytical, problem-solving, self-direction, and ambiguity-management skills.
Benefits
- Health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans are offered.
- The role is salaried, with compensation varying based on location, skills, experience, education, and qualifications.
- BMO provides training, coaching, manager support, and network-building opportunities.
Categories
About BMO Financial Group
BMO Financial Group is a publicly traded North American bank offering personal and commercial banking, wealth management, and capital markets services to consumers, businesses, and institutions. Founded in 1817 and headquartered in Toronto, it operates in Canada and the United States, including BMO Bank N.A. in the U.S. The company is listed on the NYSE and TSX under the symbol BMO.