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Ai In Jobs in Minnesota (NOW HIRING)

Scalable Systems

AI-lead DevSecOps Leader

Minneapolis, MN · On-site

$146K - $179K/yr

... in ADLC and AI in SDLC practices with partners and select suitable vendor and opensource products to build the future stack that will drive KPI improvements • Partner closely with enterprise ...

Eightfold.ai

Agentic Account Executive

Minneapolis, MN · On-site +1

About Eightfold AI Eightfold was founded with a vision to solve for employment in our society. For decades, the connection between individuals and opportunities has been based on who they are and the ...

Human Agency

AI Resilience Fund Manager

Minneapolis, MN · On-site

$72K - $98K/yr

We immerse ourselves in their world, becoming stewards of their goals and partners in solving big ... We believe AI should amplify human potential, not replace it, and we build with that conviction in ...

Human Agency

AI Resilience Fund Manager

Minneapolis, MN · Remote

$72K - $98K/yr

We immerse ourselves in their world, becoming stewards of their goals and partners in solving big ... We believe AI should amplify human potential, not replace it, and we build with that conviction in ...

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Ai In information

What is an AI Engineer?

An AI Engineer is a professional who designs, develops, and implements artificial intelligence systems and applications. They use machine learning algorithms, deep learning frameworks, and data analysis techniques to create intelligent solutions that can perform tasks such as image recognition, natural language processing, and decision-making. AI Engineers often collaborate with data scientists and software developers to build models, train AI systems, and deploy them in real-world environments. Their work is crucial in advancing automation and making technology smarter across various industries.

What is the difference between Ai In vs Data Analyst?

AspectAi InData Analyst
Required CredentialsTypically a degree in AI, computer science, or related field; certifications in AI or machine learningDegree in statistics, mathematics, or related field; certifications in data analysis or visualization
Work EnvironmentTech companies, AI research labs, startups; focus on developing AI modelsBusiness, finance, healthcare sectors; analyze data to inform decisions
Employer & Industry UsagePrimarily in tech and AI-focused industriesAcross various industries including finance, healthcare, marketing

While both roles involve working with data, Ai In focuses on developing and implementing AI models, whereas Data Analysts interpret data to support business decisions. Ai In roles require specialized knowledge in AI and machine learning, while Data Analysts focus on data visualization and statistical analysis.

What jobs will be eliminated by AI by 2030?

AI is expected to automate routine and repetitive tasks across various industries, potentially eliminating jobs such as data entry clerks, telemarketers, and basic customer service roles. Jobs requiring high levels of creativity, complex problem-solving, or emotional intelligence are less likely to be fully replaced by AI by 2030, but some roles may see significant transformation or reduction in demand.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages.

What are the key skills and qualifications needed to thrive as an AI Engineer, and why are they important?

To thrive as an AI Engineer, you need strong programming skills (especially in Python), a solid foundation in mathematics and statistics, and typically a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, experience with data modeling, and sometimes certifications in AI or data science are highly valued. Critical thinking, creativity, and effective communication help AI Engineers collaborate on complex projects and translate technical concepts for diverse audiences. These skills and qualities are crucial for developing innovative, reliable AI solutions that address real-world challenges.

Which 3 jobs will survive AI?

AI In roles such as AI specialists, data scientists, and machine learning engineers are expected to persist because they involve designing, developing, and maintaining AI systems that require advanced technical skills and human oversight. These jobs demand creativity, complex problem-solving, and ethical judgment that are difficult for AI to fully replicate. Additionally, roles in AI ethics, policy, and user experience design are likely to remain essential as AI technology evolves.

How is AI being used in jobs?

AI is used in jobs to automate repetitive tasks, analyze large data sets, and improve decision-making processes. Roles such as AI specialists, data analysts, and machine learning engineers require skills in programming, data management, and understanding AI tools. These applications enhance efficiency and enable new capabilities across various industries.

What are some common challenges AI Engineers face when integrating artificial intelligence solutions into existing business systems?

AI Engineers often encounter challenges such as ensuring compatibility between new AI models and legacy systems, managing data quality and availability, and addressing scalability concerns. Effective communication with cross-functional teams, including data scientists, IT, and business stakeholders, is essential to understand requirements and mitigate potential roadblocks. Additionally, AI Engineers must balance innovation with ethical considerations and compliance, making it crucial to stay updated on industry standards and best practices.
What are popular job titles related to Ai In jobs in Minnesota? For Ai In jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Ai In jobs in Minnesota look for? The top searched job categories for Ai In jobs in Minnesota are:
What cities in Minnesota are hiring for Ai In jobs? Cities in Minnesota with the most Ai In job openings:
Ai In jobs near you
Infographic showing various Ai In job openings in Minnesota as of June 2026, with employment types broken down into 78% Full Time, 17% Part Time, and 5% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.
Technical Project Manager - Data & AI (In-Person Interview Required)

Technical Project Manager - Data & AI (In-Person Interview Required)

TekShapers

Moundsview, MN • On-site

Other

Posted 20 days ago

Job description

Title: Technical Project Manager – Data & AI (In-Person Interview Required)

Duration: 4-5 Months

Location: Mounds View, MN (Onsite – 4 days/week minimum)

We are seeking an experienced Technical Project Manager (Data & AI) to lead a high-impact data platform transformation initiative.

The ideal candidate will drive execution across data engineering, architecture, IT, and business teams while ensuring alignment, transparency, and delivery against scope, timeline, and quality commitments.

Required Qualifications:

  • 7+ years of experience managing large-scale data platform, AI, or systems integration programs.
  • Proven experience managing vendors in a SOW / fixed-deliverable model, with strong focus on accountability and outcomes.
  • Experience working in a regulated industry (Medical Devices, Pharmaceuticals, or Financial Services).
  • Strong executive communication skills with the ability to present clear, actionable insights.
  • Ability to manage complex, cross-functional programs with multiple stakeholders.
  • Must be local to Mounds View, MN or the Greater Twin Cities area.

Preferred Qualifications:

  • Experience with Databricks, including:
    • Medallion Architecture
    • Delta Lake
    • Data Lakehouse migrations
  • Strong understanding of data platforms and integration patterns, including:
    • Oracle (source systems)
    • Databricks (target platforms)
    • ETL / ELT pipelines
    • Event-driven architectures
  • Experience with integration tools such as:
    • Informatica IICS
    • webMethods or similar middleware
  • Experience in a medical device regulatory environment.
  • Certifications such as PMP, Agile, or equivalent.
  • Experience with enterprise PPM tools (e.g., Planisware) for project tracking and reporting.

Tekshapers is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information, or any characteristic protected by law.

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