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U.S. Bank

Technology Architect – AI, Data

U.S. Bank

. Lead end-to-end solution design across systems, data, integration, infrastructure, and AI capabilities .

Posted 11/10/2026full-timeUnited StatesSeniorLead💰 $119,765 - $140,900 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in end-to-end solution design, integrating AI capabilities into enterprise applications, and developing scalable architectures. Proficient in defining non-functional requirements and collaborating with cross-functional teams to ensure alignment with architectural standards.

Highest-signal resume keywords
AI/ML ArchitectureAPI-Led ArchitectureCloud-Based Integration PatternsModern Data ArchitectureHigh-Availability Architectures

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Solution DesignApplication DevelopmentIntegration PatternsData PlatformsAI-Enabled ApplicationsEvent-Driven ArchitecturesDistributed SystemsData MeshIdentity and Access ManagementSecure Design Practices
Soft Skills
CollaborationCommunicationStrategic ThinkingProblem SolvingLeadership
Tools & Technologies
SnowflakeDatabricksAzure SynapseEKSAKSREST APIsAsynchronous MessagingEvent StreamingGPU-Based WorkloadsModern UI Frameworks
Industry Keywords
Enterprise ArchitectureScalabilityPerformanceOperational ReadinessRegulated Environments

Tech Stack

Tools & technologies
AzureCloudDistributed SystemsSnowflake

About the role

Key responsibilities & impact
  • Lead end-to-end solution design across systems, data, integration, infrastructure, and AI capabilities
  • Translate business requirements into clear, scalable, and integrated solution designs
  • Collaborate with product owners, engineering teams, and enterprise architects to ensure alignment with architecture standards and frameworks
  • Define and drive non-functional requirements, including resiliency, performance, scalability, security, and failure handling
  • Own solution design strategy across initiatives and partner with architects and senior stakeholders on architectural direction and trade-offs
  • Develop reference architecture, reusable patterns, and blueprints
  • Validate designs early through solution shaping and technical validation
  • Evaluate technologies and vendor solutions for alignment with enterprise platforms and strategic direction
  • Maintain a forward-looking architectural view and identify dependencies, risks, and integration complexity early
  • Contribute to product and platform roadmaps to support scalability, reuse, and long-term growth
  • Validate architecture using APIs, data platforms, infrastructure, and AI components to establish feasibility and alignment with design intent
  • Create and promote reusable design patterns that accelerate delivery across teams

Requirements

What you’ll need
  • Bachelor's degree or equivalent work experience
  • At least 10 years experience with developing and implementing applications
  • At least 10 years experience with the concepts, philosophies and tools behind the design of applications, information and underlying information technologies
  • Understanding of AI/ML architecture and integration patterns, including ML models, LLMs, inference, agents, and AI-enabled applications
  • Experience integrating AI capabilities into enterprise applications, data platforms, and business workflows
  • Familiarity with AI/ML deployment and infrastructure patterns, including Snowflake ML, containerized deployment on EKS/AKS, and GPU-based workloads
  • Understanding of core transactional systems and enterprise platforms across payments, customer/account systems, authentication, and servicing
  • Experience designing API-led and event-driven architectures, including REST APIs, asynchronous messaging, and event streaming
  • Knowledge of distributed systems, orchestration, and cloud-based integration patterns
  • Experience with modern data architecture, including data mesh and domain-driven data products
  • Familiarity with cloud-based data and analytics platforms such as Snowflake, Databricks, Azure Synapse, or equivalent
  • Strong focus on high-availability architectures, failover strategies, scalability, performance, and operational readiness
  • Familiarity with modern UI frameworks and API-driven experience architectures
  • Understanding of user experience integration with backend systems
  • Knowledge of identity and access management, data protection, and secure design practices in regulated environments
  • Ability to work with engineering teams to shape secure, scalable, resilient, and cost-effective AI solutions

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
  • Incentive and recognition programs
  • Equity stock purchase
  • 401(k) contribution and pension