U.S. Bancorp

3 days ago

SVP, AI Deployment & Solution Leader

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead enterprise AI deployment, solution architecture, and enablement strategy, owning the end-to-end AI lifecycle from platform selection to production operations. Serve as the primary authority on Azure AI and AWS AI capabilities, establishing enterprise standards, reusable architecture patterns, and governance frameworks. Build and lead multidisciplinary AI architecture and ML/engineering teams, drive AI feasibility and adoption programs, and ensure scalable, secure, compliant, and measurable business outcomes.

Location: Minneapolis, Chicago

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Director level

Key Responsibilities

•Own the end-to-end AI lifecycle, driving enterprise AI deployment, solution architecture, and enablement strategy.
•Advise business and technology leaders on Azure AI and AWS AI platform selection, architecture patterns, and implementation approaches.
•Establish enterprise standards, architectural principles, governance frameworks, and reusable design patterns for generative/agentic AI, ML, and intelligent automation.
•Ensure production operationalization through standards for MLOps, CI/CD, model lifecycle management, monitoring/observability, and rollback processes.
•Recruit, develop, and lead a multidisciplinary team and build an AI Center of Excellence to accelerate adoption, governance, and capability growth.

Pay and Benefits

Salary: USD 170,255 - 200,300 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionLife InsuranceDisability InsuranceParental Leave401kRetirementPaid LeaveAdoption Assistance

Key Requirements

•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 leading AI, machine learning, cloud architecture, platform engineering, or related functions.
•Deep expertise in Microsoft Azure AI services, including Azure AI Foundry, Azure OpenAI, and Azure Machine Learning.
•Strong knowledge of AWS AI services, including Amazon Bedrock and SageMaker.
•Proven ability to architect and deploy AI solutions that scale from proof of concept to enterprise production, including operational readiness.

Experience:AIMachine learningCloud architecturePlatform engineering

Education:Master's in Computer Science, Engineering, Artificial Intelligence, Data Science

Skills:Executive presencePeople leadershipCollaborationAccountabilityContinuous learning

Tech Stack:Microsoft AzureAzure AI servicesAzure AI FoundryAzure OpenAIAzure Machine LearningAWS AIAmazon BedrockSageMakerAI FoundryLangChainLangGraphMLOpsCI/CDAPIsOrchestrationAI governanceMonitoringObservabilityModel lifecycle managementSecurity

Company Brief

U.S. Bancorp

U.S. Bancorp is the parent company of U.S. Bank, providing consumer, business, and institutional banking services including lending, payments, treasury management, wealth management, and merchant solutions across the United States.

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Minneapolis, United States

Founded: 1863

Glassdoor: 3.8

Website LinkedIn Glassdoor

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U.S. Bancorp

3 days ago

SVP, AI Deployment & Solution Leader

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Minneapolis, Chicago

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Director level

Key Responsibilities

•Own the end-to-end AI lifecycle, driving enterprise AI deployment, solution architecture, and enablement strategy.
•Advise business and technology leaders on Azure AI and AWS AI platform selection, architecture patterns, and implementation approaches.
•Establish enterprise standards, architectural principles, governance frameworks, and reusable design patterns for generative/agentic AI, ML, and intelligent automation.
•Ensure production operationalization through standards for MLOps, CI/CD, model lifecycle management, monitoring/observability, and rollback processes.
•Recruit, develop, and lead a multidisciplinary team and build an AI Center of Excellence to accelerate adoption, governance, and capability growth.

Pay and Benefits

Salary: USD 170,255 - 200,300 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionLife InsuranceDisability InsuranceParental Leave401kRetirementPaid LeaveAdoption Assistance

Key Requirements

•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 leading AI, machine learning, cloud architecture, platform engineering, or related functions.
•Deep expertise in Microsoft Azure AI services, including Azure AI Foundry, Azure OpenAI, and Azure Machine Learning.
•Strong knowledge of AWS AI services, including Amazon Bedrock and SageMaker.
•Proven ability to architect and deploy AI solutions that scale from proof of concept to enterprise production, including operational readiness.

Experience:AIMachine learningCloud architecturePlatform engineering

Education:Master's in Computer Science, Engineering, Artificial Intelligence, Data Science

Skills:Executive presencePeople leadershipCollaborationAccountabilityContinuous learning

Company Brief

U.S. Bancorp

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Minneapolis, United States

Founded: 1863

Glassdoor: 3.8

Website LinkedIn Glassdoor