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Gen Ai Engineer Jobs in Minnesota (NOW HIRING)

KLDiscovery

AI Architect

Eden Prairie, MN · On-site

$190K - $230K/yr

As AI Architect, you'll own the north star for gen AI and ML engineering at KLDiscovery and build alongside the team to make it real. This is one of the most interesting AI problem sets in enterprise ...

Deloitte

Oracle Gen AI Manager

Minneapolis, MN · On-site

Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ... Work you'll do As an Oracle Gen AI Architect Manager on the Oracle team, you will translate ...

Syntricate Technologies

DevOps Lead - Shield

Minneapolis, MN · On-site

$55 - $75.50/hr

... Gen AI and RPA projects. • Manage cloud infrastructure (preferably AWS, GCP, or Azure) with a ... s Engineer, with a focus on cloud infrastructure and automation. • Strong hands-on experience ...

ClifyX

AI Automation Engineer

Minneapolis, MN · On-site

ClifyX is a company seeking a skilled AI Automation Engineer to design, develop, and maintain ... gen automation frameworks and tools • Knowledge of other API testing tools/frameworks (e.g ...

UnitedHealth Group

Senior AI/ML Engineer

Minnetonka, MN · On-site

$120K - $214K/yr

In support of AI 10.0 Scaling and leveraging AI to apply processing rules directly from source ... Drive Architecture, Governance & Engineering Standards * Cross Functional Leadership ...

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All JobsGen Ai Engineer JobsGen Ai Engineer Jobs in Minnesota

Gen Ai Engineer information

See Minnesota salary details

$58.3K

$109.3K

$198.8K

How much do gen ai engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for gen ai engineer in Minnesota is $109,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $129,800.00 per year, depending on experience, location, and employer.

What is a Gen AI engineer?

Gen AI Engineers are professionals who design, develop, and deploy generative artificial intelligence systems, such as large language models and image generators. They combine expertise in machine learning, deep learning, and software engineering to build applications that can create new content, automate tasks, and solve complex problems. Gen AI Engineers often work with frameworks like TensorFlow or PyTorch and collaborate with data scientists and product teams to bring generative AI solutions into real-world products.

What are the key skills and qualifications needed to thrive as a Gen AI engineer?

To thrive as a Gen AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically supported by a relevant degree and experience with AI model development. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms such as AWS or Google Cloud, and proficiency in programming languages like Python are essential, as are certifications in AI or cloud technologies. Strong problem-solving skills, creativity, and the ability to communicate complex concepts effectively help you stand out in this role. These skills and qualities are crucial for building innovative AI solutions that meet business needs and drive technological advancement.

What are some common challenges Gen AI engineers face when deploying AI models in production environments?

Gen AI Engineers often encounter challenges such as ensuring model scalability, managing computational resources efficiently, and maintaining data privacy when deploying AI models. Additionally, integrating generative models with existing systems can require significant collaboration with DevOps and software engineering teams. Monitoring model performance in real-time and addressing issues like model drift or unexpected outputs are also critical responsibilities to ensure robust and reliable AI solutions.

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

AspectGen Ai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI frameworksDegree in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentTech companies, AI startups, R&D labsBusiness analytics, research institutions, tech firms
Employer & Industry UsageDevelops generative AI models, focuses on AI product developmentAnalyzes data, builds predictive models, supports decision-making
Search & Comparison IntentUnderstanding AI-specific roles, skills, and responsibilitiesData analysis, insights, and statistical modeling

While both roles involve working with data and AI technologies, a Gen Ai Engineer primarily focuses on developing and deploying generative AI models, whereas a Data Scientist emphasizes analyzing data to extract insights and build predictive models. The roles often overlap in skills and work environment but differ in their core objectives and applications.

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

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

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

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

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

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

Gen Ai Engineer jobs near you
Infographic showing various Gen Ai Engineer job openings in Minnesota as of August 2026, with employment types broken down into 77% Full Time, 17% Part Time, and 6% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $109,333 per year, or $52.6 per hour.

GEN AI Developer

Tata Consultancy Service Limited

Minneapolis, MN • On-site

$100K - $110K/yr

Full-time

Re-posted 13 days ago

Job description

GEN AI Developer
• GenAI Application Engineer with strong core development skills in Java, Spring Boot, APIs, and Microservices
• At least one must have concrete machine learning experience.
• At least 2 should have experience developing applications with Generative AI in Azure AI and Azure Cloud echo system.
• Other can be strong Java and Spring boot engineers with aptitude to learn and develop applications using Open AI on Azure platform.
• Lang Graph and Lang Chain is very highly valued. Developing and deploying applications in cloud space is essential for those that do not have AI development experience.
Salary Range- $100,000-$110,000 a year
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