Emerging Technology Solutions Architect

US Bank

Closes in 6 days Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, ILHopkins, MNMinneapolis, MNCincinnati, OHCupertino, CA
Salary
$139,230–$163,800 / yr
Posted
11 days ago
Closes
Jul 4, 2026 (soon)
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $202k
This role $152k
$127k most similar roles pay here $254k

This role pays less than 85% of similar roles. Most pay $168,452–$235,750 — the shaded band above. At the midpoint, this role pays about $152k versus about $202k 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 52 open roles on FindRole.

Listed pay typically runs $119,765–$140,900 across 52 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Emerging Technology Solutions Architect

Role Posting Log in to save

The Emerging Technology Solutions Architect role at U.S. Bank involves evaluating and guiding the adoption of new AI-driven technologies across the enterprise, focusing on areas like generative AI and agentic AI. This senior-level position requires partnering with platform engineering, developer experience, and risk/security teams to assess emerging capabilities such as GitHub Copilot, Azure OpenAI, and API-based integration patterns, recommending scalable solutions that align with enterprise standards. The ideal candidate has a strong background in software engineering, cloud expertise in AWS or Azure, and experience with AI/ML services, along with the ability to translate complex technical concepts into clear recommendations for both technical and non-technical stakeholders.

Skills

AWS Azure OpenAI GitHub Copilot Cursor MCP APIs service-based architectures SageMaker Bedrock LLM integration patterns prompt orchestration generative AI agentic AI Azure CI/CD

What you'll do

  • Evaluate and recommend emerging AI-driven technologies for enterprise adoption.
  • Assess Azure OpenAI, AWS AI/ML services, and other LLM-based solutions.
  • Define architecture patterns considering cost, scalability, security, and risk.
  • Design reusable solution patterns using APIs and service-based architectures.
  • Translate complex technical concepts into clear recommendations for stakeholders.
  • Evaluate vendor tools and ecosystem offerings for long-term enterprise fit.

What we're looking for

  • 8+ years of experience in software engineering or solution architecture.
  • Strong foundation in designing distributed systems and integrating platforms via APIs and service-based architectures.
  • Cloud expertise with AWS or Azure, including AI/ML services like Azure OpenAI and SageMaker.
  • Experience evaluating generative and agentic AI technologies for enterprise fit.
  • Familiarity with developer productivity tools such as GitHub Copilot and Cursor.
  • Knowledge of LLM integration patterns, prompt orchestration, and emerging AI frameworks.

Related searches

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