Director, AI Architecture B2C

BMO; Chicago (IL); On-site; USD 180,000 - 240,000; Full time

Job summary

BMO in Chicago seeks a Director AI Architecture to shape enterprise AI strategy, align solutions with business goals, and accelerate GenAI adoption across units.

You will design reference architectures, govern AI platforms, and mentor teams while ensuring responsible AI, security, and regulatory compliance.

Qualifications

• Experience designing AI architectures with security and governance.
• Ability to implement responsible AI controls and monitoring.
• Hands-on experience with enterprise cloud AI services and architectures.

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.

Skills

LLM security

Prompt injection mitigation

Data privacy

Responsible AI controls

RBAC implementation

Compliance frameworks (SOC, HIPAA,GDPR

Tools

AWS SageMaker

Amazon Bedrock Agent Core

Job description

BMO 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