ZipRecruiter

Log In

1

Artificial Intelligence Software Developer Jobs in Minnesota

Leidos

Junior Software Engineer

Eagan, MN · On-site +1

Artificial Intelligence and AI-Assisted Development (Generative AI, LLMs, AI coding assistants, RAG ... Experience using DevOps and CI/CD tools including Git/Bitbucket, Bamboo/Jenkins, SonarQube, and ...

Siemens

$18 - $50/hr

Siemens Digital Industries Software is seeking an AI & Engineering Data Intern to support emerging Artificial Intelligence and Digital Thread initiatives within the Capital PreSales organization.

Siemens

$18 - $50/hr

Siemens Digital Industries Software is seeking an AI & Engineering Data Intern to support emerging Artificial Intelligence and Digital Thread initiatives within the Capital PreSales organization.

next page

Showing results 1-20

All JobsArtificial Intelligence Software Developer JobsArtificial Intelligence Software Developer Jobs in Minnesota

Artificial Intelligence Software Developer information

See Minnesota salary details

$47K

$109.5K

$162.6K

How much do artificial intelligence software developer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for artificial intelligence software developer in Minnesota is $109,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,100.00 and $127,300.00 per year, depending on experience, location, and employer.

What is an artificial intelligence software developer?

An Artificial Intelligence (AI) Software Developer is a technology professional who designs, builds, and maintains software applications that utilize AI and machine learning techniques. They work with algorithms, data processing, and neural networks to create intelligent systems capable of tasks such as image recognition, language processing, and decision-making. These developers often collaborate with data scientists and engineers to integrate AI models into products and services, continually improving their accuracy and efficiency. Their work is fundamental in creating smarter applications across industries like healthcare, finance, and e-commerce.

What are the key skills and qualifications needed to thrive as an artificial intelligence software developer, and why are they important?

To thrive as an Artificial Intelligence Software Developer, you need strong programming skills (especially in Python, Java, or C++), a solid background in mathematics and statistics, and typically a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud computing platforms, and relevant certifications like Google Cloud Professional Machine Learning Engineer are highly beneficial. Critical thinking, creativity, and effective collaboration are standout soft skills for this role. These competencies enable the development of innovative AI solutions, efficient problem-solving, and successful teamwork on complex projects.

What are some common challenges faced by artificial intelligence software developers when transitioning machine learning models from development to production?

Artificial Intelligence Software Developers often encounter challenges when moving machine learning models from the development environment to production, such as ensuring scalability, managing data inconsistencies, and maintaining model performance over time. Integrating models into existing systems may require collaboration with DevOps and data engineering teams to address deployment pipelines, monitoring, and version control. It's also important to implement robust testing and continuous evaluation processes to catch data drift or performance degradation. Overcoming these challenges requires strong communication skills and an understanding of both AI algorithms and software engineering best practices.

What is the difference between Artificial Intelligence Software Developer vs Machine Learning Engineer?

AspectArtificial Intelligence Software DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; programming skillsBachelor's in CS, Data Science, or related; strong math and programming skills
Work EnvironmentSoftware development teams, AI projects, R&DData-focused teams, model development, deployment
Employer & Industry UsageTech companies, research labs, startupsTech firms, finance, healthcare, research institutions
Common Search & ComparisonYesYes

Artificial Intelligence Software Developers design and implement AI applications, focusing on integrating AI algorithms into software solutions. Machine Learning Engineers specialize in developing and deploying machine learning models, often working with large datasets. While both roles require programming skills and knowledge of AI concepts, AI Developers focus on broader AI system integration, whereas ML Engineers concentrate on model training and optimization.

What cities in Minnesota are hiring for Artificial Intelligence Software Developer jobs?

Cities in Minnesota with the most Artificial Intelligence Software Developer job openings:

Artificial Intelligence Software Developer jobs near you
Infographic showing various Artificial Intelligence Software Developer job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $109,542 per year, or $52.7 per hour.

Artificial Intelligence Developer - Hybrid

Virginia, MN • On-site

Worky
See more jobs at Workyexternal

Other

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

Benefits
  • Health insurance
  • Paid time off
  • Vision insurance
  • 401(k)
  • 401(k) matching
  • Dental insurance

AET Federal Inc. is seeking an AI Developer to support the design, development, integration, and deployment of AI-powered solutions for government and enterprise customers. This role serves as a technical bridge between AET Federal’s AI capabilities and customer mission requirements, working directly with stakeholders to identify operational challenges and develop secure, scalable, production-ready AI solutions.

The ideal candidate combines strong software engineering skills with hands-on experience in Generative AI, large language models (LLMs), AI agents, APIs, cloud technologies, and enterprise systems. This is a highly collaborative, customer-facing role requiring the ability to translate complex business and technical requirements into practical AI solutions.

Key Responsibilities
  • Work directly with customers to understand workflows, business processes, and mission requirements and identify opportunities for AI-driven automation.
  • Design, develop, and deploy AI agents and AI-enabled applications using technologies such as LLMs, RAG, and agentic AI frameworks.
  • Write production-quality code in Python, JavaScript, or TypeScript to develop AI solutions, integrations, and supporting applications.
  • Integrate AI solutions with enterprise and government systems using REST APIs, custom connectors, databases, and cloud platforms.
  • Support integrations with platforms such as Salesforce, ServiceNow, SAP, Oracle, Microsoft, and other enterprise applications.
  • Lead technical implementation activities for AI pilots, prototypes, and production deployments.
  • Troubleshoot, optimize, and enhance AI solutions to improve performance, reliability, security, and scalability.
  • Collaborate with AET Federal engineering, cybersecurity, data, and program teams to ensure solutions meet customer and mission requirements.
  • Provide technical feedback and recommendations to continuously improve AET Federal’s AI capabilities and solutions.
Required Qualifications
  • 3+ years of professional experience in software engineering, AI engineering, solutions engineering, or a related technical role.
  • Strong proficiency in Python and/or JavaScript/TypeScript.
  • Hands-on experience with Generative AI, LLMs, prompt engineering, or AI agent development.
  • Experience working with REST APIs, SQL databases, and cloud environments such as AWS, Azure, or GCP.
  • Understanding of AI application development, including RAG, embeddings, vector databases, or LLM frameworks.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Excellent written and verbal communication skills, with the ability to communicate technical concepts to both technical and non-technical stakeholders.
  • Ability to work independently in customer-facing environments and collaborate effectively across technical and business teams.
  • Ability to travel to customer sites as required.
Preferred Qualifications
  • Experience with LangChain, OpenAI APIs, Azure OpenAI, or similar AI/LLM platforms.
  • Experience developing agentic AI systems or multi-agent applications.
  • Experience with vector databases such as Pinecone, Weaviate, or similar technologies.
  • Experience integrating enterprise platforms such as SAP, Oracle, Salesforce, ServiceNow, or Workday.
  • Experience working in federal government, defense, healthcare, or other highly regulated environments.
  • Familiarity with DevSecOps, CI/CD, containerization, and secure cloud architectures.
  • Active U.S. government security clearance or ability to obtain one is a plus.
Work Environment

This position may involve a combination of remote work, AET Federal office work, and customer-site support. Occasional travel may be required based on customer and project needs.

Flexible work from home options available.

#J-18808-Ljbffr

Apply