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Artificial Intelligence Engineer Jobs in Minnesota

Cargill

Senior AI/Data Scientist (MSP)

Wayzata, MN · On-site

$105K - $160K/yr

Establishes software and artificial intelligence engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied generative artificial ...

Deloitte

Databricks Data Engineer II

Minneapolis, MN · On-site

$119K - $143K/yr

... and artificial intelligence capabilities. As a Databricks Data Engineer, you will support the ... design, build, and optimization of cloud-based data engineering solutions that enable large-scale ...

Deloitte

Sr Databricks Data Engineer

Minneapolis, MN

$119K - $143K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud ... artificial intelligence use cases, and drive measurable business outcomes. This role offers the ...

Foth

Municipal Engineer

Minneapolis, MN · On-site

Consistently ranked by Engineering News Record in the top 150 firms, we offer a values-based ... Artificial Intelligence: Foth uses artificial intelligence and other technology-assisted tools in ...

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Showing results 1-20

All JobsArtificial Intelligence Engineer JobsArtificial Intelligence Engineer Jobs in Minnesota

Artificial Intelligence Engineer information

See Minnesota salary details

$43.1K

$104.2K

$169.9K

How much do artificial intelligence engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for artificial intelligence engineer in Minnesota is $104,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,400.00 and $129,800.00 per year, depending on experience, location, and employer.

What jobs do AI engineers do?

AI engineers develop, implement, and optimize artificial intelligence models and algorithms for applications such as machine learning, natural language processing, and computer vision. They work with programming languages like Python or Java, utilize frameworks like TensorFlow or PyTorch, and often collaborate with data scientists and software developers to create intelligent systems. Their responsibilities include data preprocessing, model training, testing, and deployment in various industries.

What are the typical daily responsibilities of an Artificial Intelligence Engineer?

Artificial Intelligence Engineers typically spend their days developing and optimizing machine learning models, analyzing large datasets, and collaborating closely with data scientists, software engineers, and product managers. They design and test algorithms to solve specific business problems, document their findings, and frequently review recent research to stay on top of advances in the field. Additionally, they participate in code reviews, attend project meetings, and may contribute to deploying AI systems into production environments. This role offers a dynamic and intellectually stimulating work environment where continuous learning and innovation are encouraged.

Which 3 jobs will survive AI?

Artificial Intelligence Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring skills in programming, machine learning, and data analysis. Other resilient roles include healthcare professionals, such as doctors and nurses, who rely on human judgment and empathy, and skilled tradespeople like electricians and plumbers, whose work depends on physical tasks and problem-solving. These jobs involve complex human interaction, physical presence, or specialized expertise that AI is less capable of replicating fully.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI engineer, research scientist, or executive role, often requiring advanced skills in machine learning, deep learning, and data analysis. Such roles usually involve leadership responsibilities, specialized expertise, and may be found in large tech companies or innovative startups offering competitive compensation packages. Achieving this salary level often requires extensive experience, advanced degrees, and a strong track record of impactful AI projects.

What engineers make $500,000?

Senior artificial intelligence engineers with extensive experience, advanced skills in machine learning, deep learning, and data science, and often working in high-demand industries or at large tech companies can earn salaries approaching or exceeding $500,000 annually, especially when including bonuses and stock options.

What does an Artificial Intelligence Engineer do?

An Artificial Intelligence Engineer designs, develops, and implements AI models and algorithms to solve complex problems. They work with machine learning, deep learning, natural language processing, and data science to create intelligent systems. Their responsibilities include data preprocessing, model training, deployment, and optimization to enhance AI performance. AI Engineers collaborate with data scientists, software developers, and business teams to integrate AI solutions into real-world applications.

What are the key skills and qualifications needed to thrive in the Artificial Intelligence Engineer position, and why are they important?

To thrive as an Artificial Intelligence Engineer, you need proficiency in programming languages such as Python or Java, a solid background in mathematics and statistics, and experience with machine learning frameworks, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, and cloud platforms (AWS, Azure, or Google Cloud) along with certifications in AI or data science are highly valued. Strong problem-solving abilities, effective communication, and collaborative teamwork skills set standout professionals apart. These competencies are crucial for designing robust AI solutions, integrating them into business processes, and working efficiently within interdisciplinary teams.

What are the most commonly searched types of Artificial Intelligence Engineer jobs in Minnesota? The most popular types of Artificial Intelligence Engineer jobs in Minnesota are:
What are popular job titles related to Artificial Intelligence Engineer jobs in Minnesota? For Artificial Intelligence Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Engineer jobs in Minnesota look for? The top searched job categories for Artificial Intelligence Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Artificial Intelligence Engineer jobs? Cities in Minnesota with the most Artificial Intelligence Engineer job openings:
Artificial Intelligence Engineer jobs near you
Infographic showing various Artificial Intelligence Engineer job openings in Minnesota as of July 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 87% In-person, 4% Hybrid, and 9% Remote job distribution, with an average salary of $104,196 per year, or $50.1 per hour.

Director, Artificial Intelligence (AI)

Ametek

Eden Prairie, MN • On-site

Full-time

Posted 22 days ago

AMETEK rating

7.6

Company rating: 7.6 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

82nd of 156 rated electronics manufacturers

Job description

The Director, Artificial Intelligence (AI), will own and deliver the division's AI-driven value creation agenda. This leader is accountable for identifying, prioritizing, deploying, and scaling AI initiatives that drive measurable revenue growth, margin expansion, productivity improvement, and compliance strength.
POSITION RESPONSIBILITIES:
Financial Impact Ownership
  • Deliver defined annual AI-driven EBITDA improvement targets.
  • Build and manage a prioritized AI value portfolio aligned with division strategy.
  • Allocate AI-related investment within approved capital envelope based on ROI and risk.
  • Present AI value creation progress during division operating reviews.
  • Kill, pivot, or scale initiatives based on measurable performance thresholds.

Growth & Commercial Enablement
  • Identify AI-enabled revenue growth opportunities (pricing optimization, product differentiation, service models, installed base monetization).
  • Partner with commercial and product leaders to embed AI into customer-facing workflows.
  • Support development of AI-enabled products and digital service offerings.

Operational Margin Expansion
  • Lead deployment of AI-enabled workflow automation and process redesign across operations and SG&A.
  • Reduce cycle time, scrap, rework, inventory, and administrative inefficiencies.
  • Standardize and scale proven AI use cases across business units.
  • Ensure AI adoption translates into sustained operating discipline.

Governance, Risk & Compliance
  • Ensure all AI initiatives comply with enterprise AI governance, cybersecurity, data privacy, and regulatory standards.
  • Monitor AI solution reliability, performance, and risk exposure.
  • Serve as the division escalation point for AI-related risk and compliance matters.
  • Align divisional initiatives with broader enterprise architecture and platform strategy.

Organizational Capability & Adoption
  • Build AI literacy across division leadership, managers, and high-potential talent.
  • Translate AI concepts into practical operating behaviors for commercial, operations, and functional teams.
  • Establish adoption standards and accountability mechanisms tied to measurable outcomes.
  • Develop a network of functional AI champions within the division.
  • Embed AI-enabled decision-making into operating rhythms (forecasting, pricing reviews, production planning, customer engagement).

External Partnerships & Vendor Leverage
  • Identify and evaluate external AI technology partners aligned with divisional value priorities.
  • Structure pilots and commercial agreements to accelerate time-to-value while minimizing risk.
  • Define performance expectations and scalability requirements tied to business outcomes.
  • Rationalize vendor landscape to avoid redundant platforms and fragmented solutions.
  • Ensure third-party tools integrate with enterprise governance and architectural standards.

REQUIREMENTS:
Required Experience
  • 7+ years in business leadership, operations, product management, analytics, or technology-enabled transformation
  • Demonstrated ownership of financial outcomes (revenue growth, cost reduction, margin expansion)
  • Experience prioritizing investments and managing tradeoffs under capital constraints
  • Proven ability to lead cross-functional initiatives and influence senior stakeholders
  • Working knowledge of AI, advanced analytics, and modern digital platforms

Preferred
  • Experience deploying AI or advanced analytics solutions in an enterprise setting
  • Experience working with external technology vendors and negotiating commercial terms
  • Exposure to industrial, manufacturing, or engineered product environments
  • Experience operating within enterprise governance frameworks.

Compensation
Employee Type: Salaried
Currency: USD
Salary Minimum: 120,000
Salary Maximum: 160,000
Incentive: Yes
Disclaimer: Where a specific pay range is noted, it is a good faith estimate at the time of this posting. The actual salary offered will be based on experience, skills, qualifications, market / business considerations, and geographic location.
For more information on AMETEK's competitive benefits, please click here.
AMETEK, Inc. is a leading global provider of industrial technology solutions serving a diverse set of attractive niche markets with annual sales over $7.5 billion.
AMETEK is committed to making a safer, sustainable, and more productive world a reality. We use differentiated technology solutions to solve our customers' most complex challenges. We employ 22,000 colleagues, in 35 countries, that are grounded by our core values: Ethics and Integrity, Respect for the Individual, Inclusion, Teamwork, and Social Responsibility. AMETEK is a component of the S&P 500. Visit https://www.ametek.com/careers for more information.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. Individuals who need a reasonable accommodation because of a disability for any part of the employment process should call 1 (866) 263-8359.

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