AI Platform Chief Architect

U.S. Bank

Chief Architect overseeing AI platform architecture and technology strategy for U.S. Bank.

Posted 7/10/2026full-timeChicago • California, Illinois, North Carolina, Texas • 🇺🇸 United StatesLead💰 $181,730 - $213,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in enterprise architecture, particularly in AI/ML platforms, with a focus on security, compliance, and operational excellence. Proven ability to lead cross-functional teams and influence strategic technology decisions while ensuring alignment with business outcomes.

Highest-signal resume keywords

Enterprise Architecture LeadershipAI/ML Platform ArchitectureCloud-Native ArchitectureExecutive Communication SkillsArchitecture Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Distributed SystemsAPI/Service IntegrationModel Integration PatternsData PlatformsSecurity ArchitectureProduction OperationsArchitecture FrameworksTechnical Debt ManagementAgile PracticesArchitecture Decision Records

Soft Skills

Influencing StakeholdersCoaching and MentoringCross-Functional CollaborationProblem SolvingCommunication

Tools & Technologies

AzureAWSJiraArchitecture Review BoardPortfolio Governance

Certifications & Qualifications

TOGAFAWS Certified Solutions ArchitectAzure Solutions Architect

Industry Keywords

Data-Sensitive EnvironmentsRegulated EnvironmentsResponsible AIIntelligent AutomationTechnology Transformation

Tech Stack

Tools & technologies

AWSAzureCloudDistributed Systems

About the role

Key responsibilities & impact

Define and maintain the enterprise architecture vision, principles, reference architectures, and decision frameworks for AI/ML platforms and adjacent technology domains.
Establish architecture standards that promote reuse, interoperability, resiliency, security, and speed-to-market across products, platforms, and shared services.
Drive architecture convergence across teams to reduce fragmentation, duplicate capabilities, technical debt, and long-term operational cost.
Partner with senior technology and business leaders to ensure architecture roadmaps directly support strategic priorities and measurable business outcomes.
Own the end-to-end architectural direction for enterprise AI/ML platform capabilities, including model integration, inference services, retrieval patterns, orchestration, and automation.
Define production-grade patterns for observability, scalability, model/data traceability, policy enforcement, and responsible AI controls.
Ensure platform capabilities can support secure onboarding of AI/ML use cases across DEV, UAT, and PROD environments with clear guardrails and repeatable patterns.
Guide platform investment decisions by balancing innovation, risk, cost, operational complexity, and business value.
Lead enterprise architecture strategy across hybrid and multi-cloud ecosystems, including Azure, AWS, on-premises services, data platforms, integration layers, and shared platform capabilities.
Define architectural patterns for secure data access, service integration, API management, event-driven flows, workload placement, and cost-aware scaling.
Assess technology options and vendor/platform choices, making recommendations that balance enterprise standards, delivery velocity, security posture, and total cost of ownership.
Ensure solution architectures align to enterprise security, compliance, resiliency, performance, and operational support requirements.
Lead the architecture community of practice, establishing forums, review mechanisms, and decision processes that improve consistency without slowing delivery.
Provide senior technical stewardship across domains, resolving complex cross-platform dependencies and ensuring end-to-end solution integrity.
Coach and mentor architects, senior engineers, and technical leaders to raise architectural maturity and systems-thinking capability across the organization.
Represent architecture in executive, risk, compliance, product, and engineering governance forums.
Define architecture guardrails for security, privacy, compliance, data protection, model governance, auditability, and responsible AI.
Identify and manage architectural risk across platforms, integrations, dependencies, and production operations.
Ensure risk decisions are clearly documented, communicated, and aligned with enterprise control expectations.
Translate complex architecture choices into clear executive-level recommendations, tradeoffs, risk implications, and investment options.
Influence senior stakeholders across business, product, technology, security, and operations to align on enterprise architecture priorities and roadmap sequencing.
Serve as a trusted advisor to technology leadership on platform strategy, modernization, vendor decisions, emerging technologies, and long-term capability planning.
Drive alignment between architecture strategy, portfolio funding, delivery execution, and measurable business outcomes.
Establish architecture-led operating mechanisms that improve transparency, dependency management, delivery predictability, and production readiness.
Partner with engineering and platform leaders to ensure architectural decisions are reflected in backlogs, roadmaps, delivery plans, and operational support models.
Promote disciplined use of Agile practices, Jira hygiene, architecture decision records, structured status reporting, and issue escalation paths.
Hold teams accountable for solution quality, resiliency, performance, lifecycle ownership, and timely resolution of architectural risks.

Requirements

What you’ll need

Bachelor's degree, or equivalent work experience
10 or more years of relevant software engineering experience
Six or more years of experience leading multiple software engineering teams
Extensive experience leading enterprise architecture, platform architecture, or large-scale technology transformation in complex organizations.
Proven ability to set architectural vision, define standards, govern technical decisions, and influence executive-level strategy.
Deep expertise in distributed systems, cloud-native architecture, data platforms, API/service integration, security architecture, and production operations.
Strong understanding of AI/ML platform architecture, model integration patterns, responsible AI considerations, and data-driven systems.
Demonstrated success leading across engineering, product, data, security, risk, compliance, and operations teams without relying solely on direct authority.
Excellent executive communication skills, including the ability to explain complex technical tradeoffs, risks, and investment choices clearly.
Experience establishing or maturing an enterprise architecture function, architecture review board, or architecture community of practice.
Experience with regulated, data-sensitive, or highly governed environments.
Familiarity with architecture frameworks, decision records, technology road mapping, portfolio governance, and technical debt management.
Experience shaping enterprise AI, GenAI, agentic AI, RAG, or intelligent automation strategies.
Relevant architecture or cloud certifications such as TOGAF, AWS Certified Solutions Architect, Azure Solutions Architect, or equivalent experience.

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