Director, AI Architecture – B2C

🔥 15 hours ago

🌽 Illinois, Massachusetts, +2 more states – Remote

🌽 Illinois – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $130k - $270k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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BMO U.S.

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🛡️ Insurance

💼 Consulting

📦 Logistics

Insurance • Consulting • Logistics

BMO U. S. is a diversified financial services company operating in the United States. It offers a broad range of financial products and services including personal and business banking, mortgage services, investments, financial planning, insurance, and wealth management. Additionally, it provides commercial loans, commercial mortgages, and other financial solutions tailored for small businesses and large enterprises. The company places a strong emphasis on customer service and offers digital and cross-border banking solutions to meet the needs of diverse clients. BMO U. S. is also involved in asset management and capital markets operations, making it a full-service financial institution.

📋 Description

• 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 into products, services, and applications • Identify and mitigate AI solution, model performance, ethical AI, security, compliance, and delivery risks • Establish and promote Responsible AI practices covering 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 • Plan, solve problems, and advise technical teams on 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 for customer experience, personalization, engagement, and operational efficiency • Provide architectural input to business cases, including feasibility, risks, enterprise alignment, AI value realization, guardrails, Evals, observability, scalability, and Responsible AI implications • 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 • Work with internal and external networks, AI vendors, and cloud providers • Anticipate AI and customer trends and implement changes to drive innovation and competitive advantage • Apply BMO’s Risk Management Framework and comply with applicable laws, regulations, AI governance, model risk management, privacy, cybersecurity, and Responsible AI standards

🎯 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 • AI security expertise, including LLM security, prompt injection mitigation, data privacy, Responsible AI controls, RBAC implementation, and compliance frameworks such as SOC, HIPAA, and GDPR • Cloud architecture expertise across AWS AI Services and Azure AI Services • Security architecture expertise with AWS IAM, KMS, Secrets Manager, Microsoft Entra ID, Key Vault, Microsoft Defender for Cloud, Purview, and Azure Policy • Technical architecture 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 • Infrastructure development expertise with CloudFormation, AWS CDK, Terraform, ARM Templates, and Bicep • Experience managing teams and people

🏖️ Benefits

• Health insurance • Tuition reimbursement • Accident and life insurance • Retirement savings plans • Performance-based incentives • Discretionary bonuses • In-depth training and coaching • Manager support and network-building opportunities • Tools and resources to reach new milestones • Reasonable accommodations for individuals with disabilities