Technology Architect (AI & Data)

U.S. Bank • Irving, TX

4d • 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 designs across systems, data, integration, infrastructure, and AI capabilities; translates business requirements into scalable, integrated solutions; and shapes architectural direction and trade-offs with architects and senior stakeholders. The role also develops reusable reference architectures, patterns, and blueprints; evaluates technologies and vendor solutions; identifies dependencies and risks; and contributes to product and platform roadmaps.

The position calls for knowledge of AI/ML architecture and enterprise integration, transactional systems, APIs and event-driven architectures, modern data platforms, high-availability design, UI architecture, and security in regulated environments. The role 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 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 such as Snowflake ML, containerized deployment on EKS/AKS, and GPU-based workloads.
• Understanding of core transactional systems and enterprise platforms, such as 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 user experience integration with backend systems.
• Knowledge of identity and access management, data protection, and secure design practices in regulated environments.

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 solutions 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.
• 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.
• Work with engineering teams to shape secure, scalable, resilient, and cost-effective AI solutions.
• 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.

Benefits

• Healthcare, including medical, dental, and vision coverage.
• 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 worked, up to 80 hours per calendar year unless otherwise provided by law.
• Incentive and recognition programs.
• Equity stock purchase.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior