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Ai Automation Engineer Jobs in Minnesota (NOW HIRING)

Lead AI Forward Engineer

Eagan, MN

$104K - $137K/yr

Identify high-impact opportunities to apply AI automation and intelligent agents across CIO ... Mentor engineers and share patterns, practices, and lessons learned to raise overall AI solution ...

Lead AI Forward Engineer

Eagan, MN · On-site

$104K - $137K/yr

Identify high-impact opportunities to apply AI automation and intelligent agents across CIO ... Mentor engineers and share patterns, practices, and lessons learned to raise overall AI solution ...

... AI and automation can replace manual toil, reduce incident volume, and shorten recovery times ... Platform engineering depth - packaging and hardening approved OS builds, management agent stacks ...

Showing results 41-60

Ai Automation Engineer information

See Minnesota salary details

$36.2K

$104.9K

$159.6K

How much do ai automation engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for ai automation engineer in Minnesota is $104,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,700.00 and $121,000.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

What is the difference between Ai Automation Engineer vs Data Scientist?

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

Is AI automation a high paying job?

AI automation engineers typically earn higher-than-average salaries due to their specialized skills in machine learning, programming, and data analysis. Salaries vary based on experience, location, and industry, but the role is generally considered well-compensated within the tech field.

Is AI automation engineer in demand?

AI automation engineers are in high demand due to the increasing adoption of artificial intelligence and automation across industries. They are needed to develop, implement, and maintain AI-driven systems, often requiring skills in machine learning, programming, and data analysis. Job opportunities are growing as companies seek to improve efficiency and innovation through automation technologies.

What are popular job titles related to Ai Automation Engineer jobs in Minnesota?

For Ai Automation Engineer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Ai Automation Engineer jobs in Minnesota look for?

The top searched job categories for Ai Automation Engineer jobs in Minnesota are:

What cities in Minnesota are hiring for Ai Automation Engineer jobs?

Cities in Minnesota with the most Ai Automation Engineer job openings:

Infographic showing various Ai Automation Engineer job openings in Minnesota as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $104,921 per year, or $50.4 per hour.

PaaS Automation - Digital Innovation - Operations

US Bank

Saint Paul, MN • Hybrid

$105K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


U.S. Bank rating

8.1

Company rating: 8.1 out of 10

Based on 363 frontline employees who took The Breakroom Quiz

65th of 174 rated banks


Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description
Shape your future - and ours

We're looking for a PaaS Automation Analyst to join our Azure & Power Platform Solutions team-a group focused on building smart, scalable automation and workflow solutions that help the business move faster and work smarter.

In this role, you'll serve as a technical expert and trusted partner to the business, supporting the design, development, and ongoing enhancement of workflow automation, data solutions, and system integrations. The work spans both product-based initiatives and project-based delivery, offering a mix of structure and creative problem-solving in a fast-moving environment.

If you enjoy turning complex problems into practical solutions-and thrive when every day looks a little different-this role offers high visibility, meaningful impact, and continuous learning.

This position is not eligible for visa sponsorship. Must be U.S. Citizen not on any type of Visa.

Key Responsibilities

  • Design, develop, and maintain data integration solutions using Domo Datasets, Collections, Code Engine, and Jupyter Workspaces.

  • Build and support automated data ingestion, transformation, validation, and delivery processes across cloud and enterprise platforms.

  • Develop integrations and workflows connecting Azure, Domo, SharePoint, databases, APIs, and enterprise systems.

  • Optimize data pipelines, datasets, and automation processes to ensure scalability, performance, and data quality.

  • Partner with business and technical teams to deliver reporting, workflow automation, and data-driven solutions.

  • Architect and implement AI-powered solutions using Azure OpenAI, RAG, semantic search, agentic workflows, and intelligent automation.

  • Integrate LLMs and Generative AI capabilities into enterprise applications while ensuring security, governance, and responsible AI practices.

  • Build secure AI-enabled architectures leveraging Azure AI Search, AI Foundry, Machine Learning, Copilot technologies, vector databases, and enterprise data sources.

  • Lead enterprise integration, API, automation, and cloud modernization initiatives.

  • Support the full software development lifecycle, from requirements through deployment and continuous improvement.

  • Analyze complex business and technical challenges, balancing functionality, security, performance, cost, and maintainability.

  • Troubleshoot production issues, optimize platforms, and evaluate emerging technologies to drive innovation and productivity.

Primary Platforms

  • Azure Logic Apps

  • Azure Function Apps

  • Domo Code Engine

  • Domo Jupyter Workspaces

  • Domo Datasets

  • Domo Collections

Additional Technologies

  • Azure API Management (APIM)

  • Azure Storage Accounts

  • Azure Key Vault

  • Azure Service Bus

  • Azure Event Grid

  • Azure Monitor

  • Application Insights

  • GitLab

  • Azure DevOps

  • REST APIs

  • SQL Server and Relational Databases

What Success Looks Like

  • Delivering scalable, secure, and reliable Azure PaaS and AI solutions that create measurable business value

  • Successfully integrating Azure OpenAI and AI-powered services into enterprise workflows and customer-facing applications

  • Designing reusable AI and integration frameworks that accelerate development across multiple teams and business functions

  • Demonstrating strong ownership of platform health, operational excellence, and service reliability

  • Communicating complex cloud, architecture, and AI concepts effectively to technical and non-technical audiences

  • Driving modernization efforts through cloud-native architectures, automation, and emerging AI technologies

  • Identifying opportunities to improve productivity, reduce costs, and enhance customer experiences through intelligent automation and Generative AI

Why Join This Team

  • Lead the adoption of Azure OpenAI and next-generation AI technologies across a growing enterprise platform ecosystem

  • Work with cutting-edge Azure services, cloud-native architectures, intelligent automation, and Generative AI solutions

  • Play a key role in defining enterprise AI strategy, governance, architecture standards, and platform roadmaps

  • Join a collaborative team that values innovation, continuous learning, and technical excellence

  • Influence how AI, automation, and cloud technologies transform business operations and customer experiences

  • Balance meaningful project work with opportunities to experiment, innovate, and drive transformational change

Location:

  • Hybrid 3+ days in office at St. Paul, MN (West Side Flats)

  • Monday - Friday 8am-5pm CST

This role has multiple levels, open to candidates with 3 years minimum experience. The successful candidate will be hired for the level of the position that aligns with their experience. Please note that the salary range provided corresponds to the lowest level of the position posted.

PaaS Automation 3

Basic Qualifications

  • Bachelor's degree, or equivalent work experience

  • Three to five years of direct experience (with project lead experience), or five to eight years of related experience

PaaS Automation 4

Basic Qualifications

  • Bachelor's degree, or equivalent work experience

  • Five or more years of direct experience (with project lead responsibilities), or eight or more years of related experience

PaaS Automation 5

Basic Qualifications

  • Bachelor's degree, or equivalent work experience

  • Eight or more years of direct experience with project management responsibilities

Preferred Skills/Experience

  • Strong hands-on experience with Azure Logic Apps and Azure Function Apps.

  • Experience developing and supporting solutions using Domo Code Engine, Domo Jupyter Workspaces, Domo Datasets, and Domo Collections.

  • Experience designing automated data pipelines and workflows across multiple platforms and services.

  • Proficiency in one or more programming languages such as Python, JavaScript, C#, or SQL.

  • Experience developing and consuming REST APIs and integrating enterprise applications.

  • Knowledge of data movement, transformation, orchestration, and automation patterns.

  • Experience working with structured and unstructured data sources.

  • Familiarity with source control systems and CI/CD practices.

  • Experience troubleshooting production issues and performing root cause analysis.

  • Understanding of cloud security best practices, identity management, and access controls.

  • Strong organizational, analytical, and problem-solving skills.

  • Excellent communication and collaboration abilities.

Location Expectations

This role requires working from a U.S. Bank location three (3) or more days per week.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • 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

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $71,400.00 - $84,000.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.


What U.S. Bank employees say

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

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