AI Solution Architect

🔥 0 minutes ago

🏖️ New Jersey – Remote

🏖️ New Jersey – Remote

💵 $120k - $250k / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions 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 end-to-end AI solutions for transformational Commercial Banking use cases, focusing on agentic AI journeys, machine learning, and intelligent workflow automation • Translate complex Commercial Banking business journeys into scalable AI solution architectures • Understand business processes, users, decisions, data, systems, controls, and handoffs involved in end-to-end journeys • Design how AI agents, machine-learning models, data services, applications, and human interactions work together • Provide architecture leadership across business problem definition, solution design, development, integration, deployment, and production readiness • Define agent responsibilities and interactions, orchestration patterns, data and knowledge requirements, model and tool integration, human-in-the-loop controls, system interfaces, and guardrails • Collaborate with business, product, data, AI, technology, engineering, architecture, security, risk, and platform teams • Lead solution design for one or more AI initiatives • Guide technical teams through architecture and implementation decisions • Evaluate technology choices and trade-offs • Ensure consistency across multiple agentic journeys • Establish reusable architectural patterns that accelerate delivery across Commercial Banking • Keep abreast of developments in Generative AI, agentic AI, machine learning, cloud platforms, and enterprise AI architecture

🎯 Requirements

• Strong experience designing end-to-end enterprise AI solution architectures, including integration across business applications, data platforms, APIs, AI/ML services, and cloud technologies • Understanding of agentic AI architectures, including multi-agent orchestration, agent/tool interaction, workflow and state management, event-driven patterns, human-in-the-loop design, knowledge retrieval, and AI guardrails • Experience translating complex business processes and user journeys into scalable technical and solution architectures • Understanding of machine learning and Generative AI concepts, including predictive modeling, LLMs, retrieval-augmented generation, embeddings, model evaluation, and the AI/ML lifecycle • Proficiency with Python and SQL • Experience across the full AI solution lifecycle, from business challenge and architecture through development, integration, deployment, monitoring, and ongoing evolution • Knowledge of enterprise integration patterns including APIs, event-driven architectures, messaging, workflow orchestration, and integration with systems of record • Experience designing AI solutions with consideration for security, privacy, responsible AI, model risk, resiliency, observability, and enterprise controls • Strong business stakeholder engagement skills and ability to communicate complex architectural concepts to technical and non-technical audiences • Ability to lead solution design across multidisciplinary teams and provide technical direction and mentorship • Experience in financial services; Commercial Banking domain knowledge is a strong asset • Ability to balance business value, user experience, technical feasibility, risk, cost, scalability, and time-to-market • 10+ years of relevant experience across financial services, AI/ML, solution architecture, data, or software engineering • Advanced degree in a relevant field such as computer science, engineering, data science, artificial intelligence, statistics, mathematics, or a related discipline • Knowledge of cloud platforms such as AWS or Azure, Generative AI platforms, and modern AI/ML development technologies is a plus

🏖️ 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 • Tools and resources to reach new milestones