SVP, AI Deployment – Solution Leader

U.S. Bank

SVP overseeing AI deployment and solution architecture strategies at U.S. Bank.

Posted 7/25/2026full-timeMinneapolis • Illinois, Minnesota • 🇺🇸 United StatesSenior💰 $170,255 - $200,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in AI deployment and solutions architecture, with a strong focus on Microsoft Azure AI services and AWS AI capabilities. Proven ability to lead multidisciplinary teams in designing scalable AI solutions aligned with enterprise architecture and governance standards.

Highest-signal resume keywords

Microsoft Azure AI ServicesAWS AI ServicesAI Solutions ArchitectureMLOps PracticesTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI DeploymentMachine LearningCloud ArchitectureSolution DesignEnterprise ArchitectureDistributed SystemsData PlatformsIntegration PatternsOperational ReadinessAI Governance Frameworks

Soft Skills

Executive PresenceInfluencing LeadershipTeam Leadership

Tools & Technologies

Azure AI FoundryAzure OpenAIAzure Machine LearningAmazon BedrockSageMakerLangChainLangGraph

Certifications & Qualifications

Master's Degree in Computer ScienceMaster's Degree in EngineeringMaster's Degree in Artificial IntelligenceMaster's Degree in Data Science

Industry Keywords

AI PlatformsCloud-Native ApplicationsAI InfrastructureScalable SolutionsTechnical Enablement

Tech Stack

Tools & technologies

AWSAzureCloudDistributed Systems

About the role

Key responsibilities & impact

Serve as the organization's senior AI deployment and solutions architecture leader, providing strategic and technical direction on AI platforms, services, models, and implementation approaches.
Guide business and technology teams in evaluating AI opportunities, selecting the appropriate technologies, and designing scalable AI solutions.
Establish enterprise architectural standards and reusable design patterns for AI applications, ensuring solutions can scale beyond pilots and proofs of concept.
Provide expert guidance on Azure AI and AWS AI platforms, including AI Foundry, Azure OpenAI, Azure Machine Learning, Amazon Bedrock, and related services.
Define and govern a unified enterprise AI technology stack aligned with data, security, governance, and cloud strategies.
Oversee deployment of highly available, secure, compliant, and resilient AI solutions in production.
Drive enterprise AI adoption through training, best practices, self-service capabilities, and technical enablement programs.
Lead and develop a multidisciplinary team of AI architects, ML engineers, platform engineers, data scientists, and technical specialists.

Requirements

What you’ll need

Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field, or equivalent experience
12+ years of technology leadership experience, including significant experience leading AI, machine learning, cloud architecture, platform engineering, or related functions
Deep expertise with Microsoft Azure AI services, including Azure AI Foundry, Azure OpenAI, Azure Machine Learning, and broader Azure cloud capabilities, with Azure serving as the primary enterprise AI platform
Strong knowledge of AWS AI services, including Amazon Bedrock, SageMaker, and related cloud-native AI capabilities
Demonstrated ability to evaluate, architect, and deploy AI solutions that successfully scale from proof of concept to enterprise-wide production environments
Extensive experience providing technical and architectural guidance on AI platforms, solution design, implementation approaches, and operational readiness
Strong understanding of enterprise architecture, cloud-native application development, distributed systems, APIs, data platforms, AI infrastructure, and integration patterns
Experience establishing MLOps practices, AI governance frameworks, operational standards, and production support models
Experience with agentic AI frameworks and technologies, including LangChain, LangGraph, Azure AI Foundry, Amazon Bedrock, and AI capabilities integrated within enterprise software platforms
Proven ability to design scalable, reusable, and secure AI architectures that maximize business value while minimizing operational complexity and technical debt
Strong executive presence with demonstrated success influencing senior business and technology leaders
Proven people leadership experience leading highly technical, multidisciplinary teams

Benefits

Comp & perks

Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law