Director, AI Architecture B2C

MO is investing heavily in AI-powered customer experiences, personalization, digital banking, employee copilots, and intelligent decisioning. The B2C space allows you to influence how customers discover products, receive advice, interact with digital channels, and manage their finances. As an AI Architecture leader, your work isn't an experimental lab project. It directly affects customer acquisition, engagement, servicing, and retention. Unlike many organizations that are still piloting AI, BMO has established enterprise-wide AI capabilities and recently created the BMO Institute for Applied Artificial Intelligence & Quantum to accelerate innovation while maintaining governance.

This role offers the chance to

Define AI reference architectures
Build reusable AI platforms
Drive GenAI adoption across business units
Influence long-term technology strategy

AI has become a board-level and CEO-level priority across banking. BMO has publicly highlighted AI as a strategic differentiator and has invested significantly in AI talent and innovation.

A Director AI Architecture role provides visibility with

Technology executives
Business executives
Risk and compliance leaders
Enterprise architecture leadership

KEY Job Responsibilities

Designs and architects AI IT Systems that integrate business processes, customer experiences, applications, data, machine learning models, generative AI capabilities, and technology platforms, ensuring alignment with business objectives, responsible AI principles, regulatory requirements, and enterprise technology standards.
Leads the planning, evaluation, and optimization of AI-enabled capabilities, including Generative AI, Agentic AI, and intelligent automation.
Ensures an integrated AI architecture across interdependent technology systems, data platforms, cloud and on-premises environments, and customer-facing digital channels.
Creates and manages key AI architecture assets - blueprints, standards, reference architecture, governance frameworks etc. for the designated portfolio and business scope.
Creates technical design recommendations aligned to standards for development and integration of AI (machine learning, generative AI, intelligent automation, AI platform capabilities (connectors/MCP etc.)) into new or existing products, services, and applications.
Identifies risks or issues with AI solutions, model performance, ethical AI considerations, security vulnerabilities, compliance requirements, and solution design that may impact realization of project benefits; guides and supports stakeholders to make decisions that proactively resolve or mitigate potential project risks/delays.
Stays abreast of industry technical and business trends through participation in professional associations, practice communities, and individual learning, with emphasis on AI, cloud technologies, analytics, and regulatory developments.
Establishes and promotes Responsible AI practices including fairness, transparency, explainability, privacy, security, guardrails, observability, Evals, model governance, and regulatory compliance.
Attracts, retains, and enables the career development of top talent in AI architecture.
Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance. Directs the delivery of AI architecture and transformation strategies across multiple business units.

KEY Skills and Experience

Expertise with AI Security Skills

LLM security
Prompt injection mitigation
Data privacy
Responsible AI controls
RBAC implementation
Compliance frameworks (SOC, HIPAA, GDPR)

Expertise with Cloud architecture

AWS AI Services

Amazon SageMaker
Amazon Bedrock Agent Core
Amazon Lex
Amazon Transcribe
Amazon Translate
Kendra Knowledge Search

Azure AI Services

Azure AI Foundry
Azure OpenAI Service
Azure AI Search
Azure AI Vision
Azure AI Document Intelligence
Azure AI Language
Azure AI Speech
Azure Machine Learning
Azure Bot Service

Expertise with Security architecture

AWS

IAM
KMS
Secrets Manager

Azure

Microsoft Entra ID
Key Vault
Microsoft Defender for Cloud
Purview
Azure Policy

Expertise with Technical architecture

LLM architecture and deployment
Prompt engineering
RAG (Retrieval-Augmented Generation)
Vector databases
AI orchestration frameworks
Agentic AI design patterns
Multi-agent architecture
Fine-tuning and model customization
Evals

Expertise with Infrastructure development

AWS

CloudFormation

AWS CDK

Terraform

Azure

ARM Templates

Bicep

Terraform

Job Description

Experience with managing teams/people.

Additional Information related to the duties and skills of the role:

Performs planning, problem-solving, and advising technical teams to optimize AI-enabled solutions that are strategic, operational, secure and economical
Participates in the system specification review process to ensure system requirements can be translated into valid AI, data, and software architecture designs that are scalable, explainable, secure, and operationally sustainable.
Identifies and researches relevant technologies, performs proofs of concept / prototypes, and recommends the applications of such technologies for future AI and digital product architecture, including foundation models, LLM platforms, AI agents, AI tools and LLMOps/AIFinOps capabilities.
Delivers innovative AI-powered solutions tailored to the specific needs of the organization, driving customer experience, personalization, engagement, and operational efficiency.
Provides input into the preparation of business case by providing key architectural insights on feasibility, risks, and alignment with enterprise strategy, including AI value realization, guardrails, Evals and Observability requirements, scalability considerations, and responsible AI implications.
Leads enterprise-wide initiatives that integrate data, analytics, AI platforms, machine learning capabilities, and customer-facing technologies and support long-term