Senior AI Technology Architect

US Bank

Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, ILHopkins, MNMinneapolis, MNCincinnati, OHCupertino, CA
Salary
$139,230–$163,800 / yr
Posted
3 days ago
Closes
Jul 4, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $210k
This role $152k
$124k most similar roles pay here $277k

This role pays less than 88% of similar roles. Most pay $172,862–$246,150 — the shaded band above. At the midpoint, this role pays about $152k versus about $210k for comparable roles.

Based on 240 similar postings.

Employer

About US Bank

U.S. Bank (U.S. Bancorp) is the fifth-largest bank in the United States, providing retail banking, corporate and commercial banking, wealth management, and payment services to millions of customers. Industry: Banking & Financial Services

US Bank currently has 37 open roles on FindRole.

Listed pay typically runs $119,765–$140,900 across 37 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Senior AI Technology Architect

The Senior AI Technology Architect role at U.S. Bank involves leading the design and enablement of scalable enterprise AI architecture solutions, focusing on translating AI strategy into production-ready platforms and defining architectural standards for reuse across the organization. This position requires partnering with engineering, platform, and business teams to develop enterprise AI capabilities, governance models, and drive adoption at scale. Key responsibilities include evaluating AI platforms like Azure AI services and AWS SageMaker, guiding engineering teams in implementing scalable solutions using cloud-native architectures, APIs, and distributed systems, and ensuring alignment with security and data governance requirements. Ideal candidates possess deep expertise in enterprise architecture, experience building AI/ML platforms on cloud services, a strong understanding of cloud infrastructure, and skills in designing distributed systems and integrating enterprise platforms via APIs and microservices. This role also demands knowledge of generative AI, LLM-based applications, and multimodal AI solutions, along with the ability to define governance models and communicate effectively at an executive level.

What you'll do

  • Lead design of enterprise AI architecture and reusable platform capabilities.
  • Define architectural standards and governance models for AI implementations.
  • Evaluate and recommend AI platforms like Azure AI services and AWS SageMaker.
  • Develop architecture roadmaps aligned with business strategy and technology direction.
  • Guide engineering teams in implementing scalable AI solutions using cloud-native architectures.
  • Identify risks and ensure alignment with security, identity, network, and data governance requirements.
  • Influence decisions on model deployment strategies and integration patterns.

What we're looking for

  • 10+ years of experience in technology architecture or engineering
  • Deep expertise in designing and scaling AI/ML platforms using cloud services
  • Strong understanding of cloud infrastructure including compute, networking, storage, IAM, and security
  • Experience with distributed systems and integrating enterprise platforms via APIs and microservices
  • Demonstrated knowledge of generative AI, agentic AI, and LLM-based applications
  • Ability to evaluate vendors and define governance models for enterprise technology ecosystems

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