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Creative Generative Ai Jobs in Minnesota (NOW HIRING)

24 Seven Talent

Sr. Graphic Designer

Saint Paul, MN · On-site

$65K - $89K/yr

Develops and refines prompts for generative AI tools to create, optimize, and enhance creative concepts and marketing assets. Serves as both creative lead and production specialist while managing ...

24 Seven Talent

Sr. Graphic Designer

Saint Paul, MN · On-site

$65K - $89K/yr

Develops and refines prompts for generative AI tools to create, optimize, and enhance creative concepts and marketing assets. Serves as both creative lead and production specialist while managing ...

Abotts Inc

Senior AI Engineer

Eden Prairie, MN · On-site

$120 - $160/hr

... generative and agentic AI solutions on a multi-cloud, multi-model stack. The ideal candidate is ... creative workflows. * Contributions to open source AI projects or published technical writing.

Symmetry

$15.25 - $20.25/hr

Proficiency with design software (Figma, Adobe Creative Suite, or similar) * Proficiency with generative AI * Video editing skills * Experience with motion graphics or animation * Understanding of ...

Symmetry

$15.75 - $21/hr

Proficiency with design software (Figma, Adobe Creative Suite, or similar) * Proficiency with generative AI * Video editing skills * Experience with motion graphics or animation * Understanding of ...

Symmetry

$15 - $19.75/hr

Proficiency with design software (Figma, Adobe Creative Suite, or similar) * Proficiency with generative AI * Video editing skills * Experience with motion graphics or animation * Understanding of ...

Symmetry

$15.75 - $21/hr

Proficiency with design software (Figma, Adobe Creative Suite, or similar) * Proficiency with generative AI * Video editing skills * Experience with motion graphics or animation * Understanding of ...

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Creative Generative Ai information

What is a Creative Generative AI?

A Creative Generative AI refers to artificial intelligence systems designed to produce original content, such as images, music, text, or videos, based on patterns learned from large datasets. These AI models, like GPT or DALL-E, use deep learning techniques to generate new and unique creative works that mimic or expand upon human creativity. They are widely used in industries like art, advertising, entertainment, and design to enhance and accelerate creative processes. Creative Generative AI tools can assist professionals by automating routine tasks, providing inspiration, or even collaborating on creative projects.

How do creative generative AI professionals typically collaborate with designers and other creative team members?

Creative Generative AI professionals often work closely with designers, writers, and marketing teams to integrate AI-generated content into creative projects. Collaboration usually involves brainstorming sessions to align on project goals, followed by iterative development where AI models are trained or fine-tuned based on feedback from the creative team. Effective communication is key, as these professionals must translate technical possibilities into creative solutions and ensure that AI-generated outputs match the desired artistic vision. Regular feedback loops and collaborative prototyping are common, making teamwork an essential part of the role.

What are the key skills and qualifications needed to thrive as a creative generative AI specialist, and why are they important?

To thrive as a Creative Generative AI Specialist, you need a strong background in computer science, machine learning, and digital art, often supported by a relevant degree or portfolio of AI-driven creative projects. Familiarity with tools like TensorFlow, PyTorch, generative adversarial networks (GANs), and creative coding platforms is typically required. Creativity, collaboration, and strong problem-solving abilities help you innovate and communicate ideas effectively within multidisciplinary teams. These skills are crucial for producing compelling AI-generated content and pushing the boundaries of technology-driven creativity.

What is the difference between Creative Generative Ai vs Graphic Designer?

AspectCreative Generative AiGraphic Designer
CredentialsTypically no formal credentials required, but knowledge of AI tools helpfulUsually holds a degree or certification in graphic design or related field
Work EnvironmentPrimarily digital, often remote, working with AI platforms and softwareOffice or studio settings, working with clients and design software
Industry UsageUsed in tech, marketing, advertising for automated content creationUsed across advertising, branding, publishing, and media

Creative Generative Ai focuses on using AI algorithms to generate creative content automatically, while Graphic Designers apply their artistic skills to create visual designs manually. Both roles serve creative industries but differ in tools, processes, and skill requirements.

What are popular job titles related to Creative Generative Ai jobs in Minnesota?

For Creative Generative Ai jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Creative Generative Ai jobs in Minnesota look for?

The top searched job categories for Creative Generative Ai jobs in Minnesota are:

What cities in Minnesota are hiring for Creative Generative Ai jobs?

Cities in Minnesota with the most Creative Generative Ai job openings:

Creative Generative Ai jobs near you

Data Scientist, Principal - AI Product Engineering (Minneapolis)

Blue Shield of CA

Minneapolis, MN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Your Role

The AI & Machine Learning team works in partnership across the enterprise to accelerate business outcomes by applying AI, machine learning, and generative AI to build intelligent products that create intelligence at scale. Reporting to the Director, AI & Machine Learning, the Data Scientist, Principal will lead the development and deployment of novel applications that leverage generative AI models. This role focuses on rapidly developing new features and working across partner teams to deliver solutions and maximize impact, translating cutting-edge AI research into real-world products and taking features from 0 to 1. You will design, build, and ship production-grade AI products including LLM-powered applications, AI agents and copilots, retrieval-augmented generation (RAG) and search, and AI-enabled automation embedded directly into customer-facing applications and enterprise workflows such as claims, payment integrity, clinical insights, and member experience. You will set the technical direction for how AI is applied across the organization.

Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow - personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.

Your Knowledge and Experience
  • Bachelor's degree in computer science, a quantitative discipline, or equivalent practical experience; Master's degree or PhD preferred
  • 10 years of prior relevant experience in data science, machine learning, applied AI/ML, software engineering, or advanced analytics
  • Proven track record of building and shipping software products rapidly, not just developing models or analyses
  • Strong software engineering skills and proficiency in Python, including building APIs and backend services
  • Experience leading ML design and optimizing ML infrastructure, model deployment, evaluation, and data processing, and working with machine learning frameworks and libraries
  • Hands-on experience with deep learning and LLM application frameworks, including PyTorch, TensorFlow, LangChain, and LangGraph
  • Hands-on experience building applications that leverage generative AI models, including prompt engineering and retrieval-augmented generation (RAG)
  • Experience with generative AI research or applications preferred
  • Experience designing agent-based systems and orchestration frameworks preferred
  • Experience with cloud computing platforms and infrastructure (e.g., Azure, Google Cloud, or AWS), and scalable data processing with SQL or Spark preferred
  • Solid MLOps and LLMOps practices, including CI/CD, monitoring, and model lifecycle management preferred
  • Experience rapidly developing and shipping software in a fast-paced, customer-facing environment, adapting to changing priorities preferred
  • Understanding of responsible AI and governance for regulated or healthcare environments preferred
Hybrid

This role requires employees to be in-office based on our hybrid workplace model, balancing purposeful in-person collaboration with flexibility. For most teams, this means coming into the office two days each week.

Employees living more than 50 miles from an office location will work with their manager to determine in-office time based on business need.

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