Principal Architect AI Platform
BMO Financial Group11 days 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.
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