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Remote Generative Ai Jobs in Minnesota (NOW HIRING)

Horizontal Talent

AI Engineer

Minneapolis, MN · Remote

This remote opportunity is ideal for a hands-on engineer who thrives in a collaborative environment ... Design, develop, and deploy AI, machine learning, generative AI, and agentic AI solutions that ...

New

FAVARH

AI Principal Engineer

Minneapolis, MN · On-site +1

This role is fully remote, with no regular in-office requirement. The Contributions You'll Make ... Experience building and supporting enterprise-scale generative AI solutions. * Experience with ...

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Remote Generative Ai information

What are common challenges faced by remote generative AI professionals and how can they be addressed?

Remote Generative AI professionals often face challenges such as collaborating effectively across time zones, ensuring data security, and staying updated with rapidly evolving AI technologies. To overcome these, it's important to establish clear communication channels, utilize version control and collaboration tools, and participate in regular team meetings. Additionally, investing time in continuous learning through online courses and AI research communities can help professionals stay current with industry advancements.

What skills and qualifications are needed to thrive as a remote generative AI specialist?

To thrive as a Remote Generative AI Specialist, you need strong expertise in machine learning, deep learning, and programming languages like Python, often supported by a degree in computer science or a related field. Proficiency with frameworks such as TensorFlow or PyTorch, cloud platforms, and relevant certifications (e.g., Google Cloud ML Engineer) is highly beneficial. Effective problem-solving, self-motivation, and clear communication are crucial for collaborating remotely and driving innovative AI solutions. These skills ensure you can develop, deploy, and improve generative AI models efficiently in distributed work environments.

What is the difference between Remote Generative Ai vs Data Scientist?

AspectRemote Generative AiData Scientist
Required CredentialsKnowledge of AI/ML, programming skills, familiarity with NLP and deep learningStatistics, programming, data analysis, often a degree in CS, stats, or related fields
Work EnvironmentRemote, collaborative teams, AI research labs, tech companiesRemote or on-site, data analysis teams, research or business units
Industry UsageDeveloping AI models, creating generative content, NLP applicationsAnalyzing data, building predictive models, informing business decisions

Remote Generative Ai specialists focus on creating AI models that generate content, requiring expertise in AI/ML and programming. Data Scientists analyze data to extract insights and build models, often with similar technical backgrounds. While both roles may work remotely and in tech industries, their core functions differ: one develops generative AI systems, the other interprets data for strategic insights.

What is a remote generative AI?

A Remote Generative AI job involves working with artificial intelligence systems that can create new content, such as text, images, or music, from data. These roles are performed remotely, allowing professionals to work from anywhere while developing, training, and deploying generative models like GPT or DALL-E. Job responsibilities may include data preparation, model training, evaluation, and integrating generative AI solutions into products or services. Professionals in this field often collaborate with teams online using cloud-based tools and communication platforms.
What are the most commonly searched types of Generative Ai jobs in Minnesota? The most popular types of Generative Ai jobs in Minnesota are:
What are popular job titles related to Remote Generative Ai jobs in Minnesota? For Remote Generative Ai jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Generative Ai jobs in Minnesota look for? The top searched job categories for Remote Generative Ai jobs in Minnesota are:
Remote Generative Ai jobs near you
Infographic showing various Remote Generative Ai job openings in Minnesota as of July 2026, with employment types broken down into 73% Full Time, 18% Part Time, and 9% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution.

AI Engineer

Horizontal Talent

Minneapolis, MN • Remote

Full-time

Posted 2 days ago

New

Job description

Join a dynamic AI Center of Excellence as an AI Engineer, where you’ll help shape innovative solutions that improve user experiences, automate workflows, and support cross-functional teams across the organization. This remote opportunity is ideal for a hands-on engineer who thrives in a collaborative environment and enjoys building practical, scalable AI and machine learning solutions.

Responsibilities
  • Design, develop, and deploy AI, machine learning, generative AI, and agentic AI solutions that solve domain-specific business challenges
  • Build and support workflows that extract complex, unstructured, and multimodal content into accurate structured data using cloud-based document processing tools
  • Create and maintain interoperable AI agents and components using Model Context Protocol (MCP) and related frameworks
  • Develop automated testing approaches for large language model solutions, including regression test suites to help identify prompt issues and model drift
  • Integrate AI applications with internal and external services using secure authentication and authorization practices
  • Apply responsible AI practices to help protect solutions from prompt injection, jailbreaks, and other security risks
  • Build and maintain end-to-end ML pipelines covering data ingestion, training, evaluation, deployment, and monitoring in cloud environments
  • Collaborate with data scientists, architects, product managers, and business stakeholders to align technical solutions with organizational goals
  • Provide technical guidance, hands-on support, and mentorship to teams across the enterprise
  • Create reusable tools, frameworks, and best practices that help accelerate AI development and adoption
Skills
  • Bachelor’s degree in computer science, engineering, or a related field
  • At least 3 years of experience designing and deploying real-world AI or machine learning solutions
  • Strong Python development skills
  • Hands-on experience with LLM APIs such as OpenAI, Azure OpenAI, Gemini, or Anthropic
  • Practical experience with prompt engineering, context construction, grounding strategies, and retrieval-augmented generation (RAG)
  • Ability to work with unstructured content from sources such as email, documents, PDFs, and webpages
  • Experience building REST APIs and integrating with internal and external APIs
  • Knowledge of machine learning algorithms, deep learning frameworks, cloud AI technologies, and emerging agentic AI technologies
  • Experience with AWS services such as Lambda, Bedrock, Step Functions, API Gateway, IAM, SageMaker, ECS, and S3
  • Understanding of MLOps practices, including CI/CD, model versioning, and model monitoring
  • Experience with SQL, data engineering, and feature engineering
  • Strong communication skills with the ability to explain technical ideas to both technical and non-technical audiences
  • Familiarity with enterprise data privacy, AI governance, and observability practices
Preferred Skills
  • Master’s degree in a related technical field
  • Experience with agentic AI frameworks
  • Experience with intelligent document processing and/or OCR technologies
  • Knowledge of Google A2A
  • Experience with observability tools for AI or GenAI environments, such as Dynatrace or similar platforms
  • Experience working in highly regulated industries such as healthcare or finance
  • Familiarity with Docker, Airflow, Kubeflow, Git, Jira, and Confluence
  • Cloud provider certifications in AI or machine learning
  • Contributions to open-source AI/ML projects or published research

We are committed to fostering a workplace where inclusion, equity, and belonging are valued and supported. We welcome candidates with a wide range of backgrounds and experiences, and we encourage individuals who are passionate about building responsible, impactful AI solutions to apply.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.

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