Director, AI Architecture – B2C
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Job Description
BMO banking AI architecture director shaping customer experiences, personalization, and digital banking. Leading enterprise AI platforms, Responsible AI governance, and transformation across business units.
Responsibilities:
- Design and architect AI IT systems integrating business processes, customer experiences, applications, data, machine learning models, generative AI capabilities, 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 digital channels
- Create and manage AI architecture blueprints, standards, reference architectures, and governance frameworks
- Develop technical design recommendations for integrating machine learning, generative AI, intelligent automation, AI platforms, connectors, and MCP into products, services, and applications
- Identify and mitigate risks involving AI solutions, model performance, ethical AI, security, compliance, and solution design
- Establish and promote Responsible AI practices covering fairness, transparency, explainability, privacy, security, guardrails, observability, Evals, model governance, and regulatory compliance
- Attract, retain, coach, develop, and manage AI architecture talent
- Direct AI architecture and transformation strategies across multiple business units
- Advise technical teams and optimize strategic, operational, secure, and economical AI-enabled solutions
- Participate in system specification reviews and translate requirements into scalable, explainable, secure, and sustainable AI, data, and software architectures
- Research technologies, conduct 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 on feasibility, risks, enterprise alignment, 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
- Build collaborative teams across product management, AI engineering, risk, compliance, legal, and customer experience
- Communicate complex AI concepts, business value, technical trade-offs, model risks, and governance requirements clearly
- Partner with AI vendors and cloud providers
- Apply BMO’s Risk Management Framework and comply with AI governance, model risk management, privacy, cybersecurity, and Responsible AI requirements
Requirements:
- Typically 9+ years of relevant experience
- Post-secondary degree in a related field of study or an equivalent combination of education and experience
- Extensive industry knowledge
- Thought leadership in innovation
- Advanced proficiency in adaptability and banking operations
- Expert proficiency in critical thinking, building and managing relationships, risk assessment, regulatory compliance management, cloud architectures, security architecture design, technical architecture, infrastructure development, and information technology strategies
- Experience with LLM security, prompt injection mitigation, data privacy, Responsible AI controls, RBAC implementation, and compliance frameworks including SOC, HIPAA, and GDPR
- Experience with AWS AI Services, including Amazon SageMaker, Amazon Bedrock Agent Core, Amazon Lex, Amazon Transcribe, Amazon Translate, and Kendra Knowledge Search
- Experience with Azure AI Services, including 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, and Azure Bot Service
- Experience with AWS and Azure security architecture tools, including 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 and model customization, and Evals
- Experience with CloudFormation, AWS CDK, Terraform, ARM Templates, and Bicep
- Experience managing teams and people
Benefits:
- Performance-based incentives
- Discretionary bonuses
- Health insurance
- Tuition reimbursement
- Accident and life insurance
- Retirement savings plans
- In-depth training and coaching
- Manager support
- Network-building opportunities
- Accommodations available on request for candidates taking part in all aspects of the selection process
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