Director, AI Architecture – B2C

BMO

. Design and architect AI IT systems integrating business processes, customer experiences, applications, data, machine learning models, generative AI, and technology platforms .

Posted 9/17/2026full-timeRemote • Washington • United StatesLead💰 $130,000 - $270,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI architecture, integrating machine learning and generative AI into business processes while ensuring compliance with security and ethical standards. Proven ability to lead teams, manage relationships, and drive innovation in AI solutions across diverse environments.

Highest-signal resume keywords

AI Architecture DesignGenerative AI IntegrationRegulatory Compliance ManagementCloud Architecture ExpertiseRisk Assessment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningGenerative AITechnical ArchitectureInfrastructure DevelopmentAI Orchestration FrameworksLLM ArchitecturePrompt EngineeringData PrivacySecurity Architecture DesignRisk Management

Soft Skills

Critical ThinkingRelationship ManagementAdaptabilityThought LeadershipTeam Management

Tools & Technologies

AWS AI ServicesAzure AI ServicesAWS IAMMicrosoft Entra IDTerraformCloudFormationAzure PolicyMicrosoft Defender for CloudSecrets ManagerPurview

Industry Keywords

Responsible AICompliance FrameworksSOCHIPAAGDPRAI GovernanceModel Risk ManagementBanking OperationsData PrivacyAI Ethics

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityTerraformVault

About the role

Key responsibilities & impact

Design and architect AI IT systems integrating business processes, customer experiences, applications, data, machine learning models, generative AI, and technology platforms
Lead planning, evaluation, and optimization of Generative AI, Agentic AI, and intelligent automation capabilities
Ensure integrated AI architecture across technology systems, data platforms, cloud and on-premises environments, and customer-facing digital channels
Create and manage AI architecture blueprints, standards, reference architectures, and governance frameworks
Develop technical design recommendations for integrating AI, machine learning, generative AI, intelligent automation, and AI platform capabilities into products, services, and applications
Identify and mitigate AI solution, model performance, ethical AI, security, compliance, and design risks
Establish and promote Responsible AI practices, including fairness, transparency, explainability, privacy, security, guardrails, observability, Evals, model governance, and regulatory compliance
Attract, retain, coach, recognize, and develop AI architecture talent
Direct AI architecture and transformation strategies across multiple business units
Advise technical teams and optimize AI-enabled solutions for strategic, operational, secure, and economical outcomes
Participate in system specification reviews and ensure scalable, explainable, secure, and sustainable architecture designs
Research technologies, perform proofs of concept and prototypes, and recommend foundation models, LLM platforms, AI agents, AI tools, and LLMOps/AIFinOps capabilities
Deliver AI-powered solutions supporting customer experience, personalization, engagement, and operational efficiency
Provide architectural input to business cases, including feasibility, risks, AI value realization, guardrails, Evals, observability, scalability, and Responsible AI
Lead enterprise-wide initiatives integrating data, analytics, AI platforms, machine learning, and customer-facing technologies
Serve as a senior AI architect and strategic advisor across BMO
Collaborate with product management, AI engineering, risk, compliance, legal, customer experience teams, AI vendors, and cloud providers
Communicate complex AI concepts, business value, technical trade-offs, model risks, and governance requirements clearly
Anticipate AI and customer expectation trends to drive innovation and competitive advantage
Apply BMO’s Risk Management Framework, Risk Culture, Risk Appetite, AI governance standards, model risk management, privacy regulations, cybersecurity controls, and Responsible AI principles

Requirements

What you’ll need

Typically 9+ years of relevant experience
Post-secondary degree in a related field of study or equivalent combination of education and experience
Advanced proficiency in adaptability
Advanced proficiency in banking operations
Expert proficiency in critical thinking
Expert proficiency in building and managing relationships
Expert proficiency in risk assessment
Expert proficiency in regulatory compliance management
Expert proficiency in cloud architectures
Expert proficiency in security architecture design
Expert proficiency in technical architecture
Expert proficiency in infrastructure development
Expert proficiency in information technology strategies
Extensive industry knowledge
Thought leadership in innovation
Expertise in LLM security, prompt injection mitigation, data privacy, Responsible AI controls, RBAC implementation, and compliance frameworks including SOC, HIPAA, and GDPR
Expertise with AWS and Azure AI services and cloud architecture
Expertise with AWS IAM, KMS, Secrets Manager, Microsoft Entra ID, Key Vault, Microsoft Defender for Cloud, Purview, and Azure Policy
Expertise in LLM architecture and deployment, prompt engineering, RAG, vector databases, AI orchestration frameworks, agentic AI design patterns, multi-agent architecture, fine-tuning, model customization, and Evals
Expertise with CloudFormation, AWS CDK, Terraform, ARM Templates, and Bicep
Experience managing teams and people

Benefits

Comp & perks

Performance-based incentives
Discretionary bonuses
Health insurance
Tuition reimbursement
Accident insurance
Life insurance
Retirement savings plans
In-depth training and coaching
Manager support
Network-building opportunities
Tools and resources for professional growth