Technology Architect (AI & Data)

U.S. Bank National Association•Irving, TX

1d•$119,765 - $140,900•Hybrid

About The Position

The Technology Architect leads end-to-end solution design, shaping early architectural decisions and ensuring solutions are built for scale, resiliency, security, and long-term sustainability. The role partners with product, engineering, data, infrastructure, and architecture teams to deliver integrated, business-aligned outcomes across enterprise systems, data, and AI. The architect defines solution designs across systems, data, integration, infrastructure, and AI capabilities; translates business requirements into scalable designs; and drives non-functional requirements such as resiliency, performance, scalability, security, and failure handling. The role also establishes architectural direction, develops reusable reference architectures and patterns, evaluates technologies and vendors, identifies dependencies and risks, and contributes to product and platform roadmaps. This role offers an opportunity to shape enterprise-scale architecture, drive innovation across AI and data, and influence next-generation digital platforms. It requires working from a U.S. Bank location three or more days per week.

Requirements

Bachelor's degree or equivalent work experience.
At least 10 years of experience developing and implementing applications.
At least 10 years of 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 managed platforms, containerized deployment on EKS/AKS, and GPU-based workloads.
Understanding of core transactional systems and enterprise platforms, including 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, and understanding of UX integration with backend systems.
Knowledge of identity and access management, data protection, and secure design practices in regulated environments.

Nice To Haves

Experience validating architecture using APIs, data platforms, infrastructure, and AI components to establish feasibility and alignment with design intent.
Ability to create and promote reusable design patterns that accelerate delivery across teams.

Responsibilities

Lead end-to-end solution design across systems, data, integration, infrastructure, and AI capabilities.
Translate business requirements into clear, scalable, integrated solution designs and avoid siloed implementations.
Collaborate with product owners, engineering teams, and enterprise architects to align designs 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 architectures, reusable patterns, and blueprints, and validate designs early through solution shaping and technical validation.
Evaluate technologies and vendor solutions for alignment with enterprise platforms and strategic direction.
Identify dependencies, risks, and integration complexity early.
Contribute to product and platform roadmaps to support scalability, reuse, and long-term growth.
Work with engineering teams to shape secure, scalable, resilient, and cost-effective AI solutions.

Benefits

Healthcare coverage, including medical, dental, and vision.
Basic term and optional term life insurance.
Short-term and long-term disability coverage.
Pregnancy disability and parental leave.
401(k) and employer-funded retirement plan.
Paid vacation of 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 hours 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, subject to eligibility requirements.