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Generative Ai Training Jobs in Minnesota (NOW HIRING)

VivaQuant, Inc.

AI Engineer

Saint Paul, MN · On-site

$110K - $130K/yr

Experience or coursework in training models from scratch, fine-tuning pretrained models, data ... Generative AI knowledge lookup tools is a plus. We are a leading provider of remote cardiac ...

Horizontal Talent

AI Engineer

Minneapolis, MN · Remote

Design, develop, and deploy AI, machine learning, generative AI, and agentic AI solutions that ... Build and maintain end-to-end ML pipelines covering data ingestion, training, evaluation ...

New

Bridgestone

AI Academy Program Lead

Tower, MN · On-site

... time training into a durable enterprise capability. In addition, this role will serve as a ... Curriculum & Learning Programs Develop curriculum pathways covering AI foundations, generative AI ...

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Generative Ai Training information

What are some common challenges faced by professionals working in generative AI training roles?

Professionals in Generative AI training often encounter challenges such as ensuring data quality and diversity, combating model bias, and staying updated with fast-evolving algorithms. Collaborating closely with data scientists, engineers, and subject matter experts is essential to create robust training datasets and refine model outputs. Additionally, balancing computational resource demands with project deadlines can be demanding, making strong project management and adaptability key assets in this role.

What are the key skills and qualifications needed to thrive in generative AI training?

To thrive in Generative AI Training, you need a strong background in machine learning, data science, and programming (especially Python), often supported by a degree in computer science or a related field. Experience with frameworks like TensorFlow, PyTorch, and familiarity with large language models and cloud platforms is typically required. Strong analytical thinking, creativity, and effective communication are essential soft skills for designing training data and refining model outputs. These skills and qualities are crucial for developing high-quality, ethical, and scalable AI systems that meet organizational goals.

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

AspectGenerative Ai TrainingData Scientist
Required CredentialsKnowledge of AI models, programming, machine learningStatistics, programming, data analysis
Work EnvironmentAI development teams, tech companies, research labsBusiness, finance, tech firms, research institutions
Industry UsageDeveloping generative models like GPT, DALL·EData analysis, predictive modeling, insights generation

Generative Ai Training focuses on developing and fine-tuning AI models that generate content, requiring expertise in AI frameworks and machine learning. Data Scientists analyze data to extract insights and build predictive models. While both roles involve programming and data skills, Generative Ai Training is specialized in AI model creation, whereas Data Scientists work broadly with data analysis across industries.

What is generative AI training?

Generative AI training refers to the process of teaching artificial intelligence models, such as neural networks, to create new content like text, images, audio, or code. This is done by exposing the AI to large datasets so it can learn underlying patterns and generate outputs that mimic human-like creativity. The training process often involves techniques like supervised learning, unsupervised learning, or reinforcement learning, depending on the desired outcome. Generative AI is widely used in applications like chatbots, image generation, and content creation.
What are popular job titles related to Generative Ai Training jobs in Minnesota? For Generative Ai Training jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Generative Ai Training jobs in Minnesota look for? The top searched job categories for Generative Ai Training jobs in Minnesota are:
What cities in Minnesota are hiring for Generative Ai Training jobs? Cities in Minnesota with the most Generative Ai Training job openings:
Generative Ai Training jobs near you
Infographic showing various Generative Ai Training job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Manager AI and Automation

Fairview Health Services

Minneapolis, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Fairview Health Services rating

7.8

Company rating: 7.8 out of 10

Based on 250 frontline employees who took The Breakroom Quiz

132nd of 887 rated healthcare providers

Job description

Job Overview

The Technical Manager of AI & Automation is responsible for leading the delivery and implementation of AI and automation solutions aligned to enterprise AI and Automation strategy.

Multiple openings available. Candidates with a passion for innovation, emerging technologies, and leading high-performing teams are encouraged to apply.   This role partners to develop and implement standards for technical architecture and applies technical expertise to implement scalable solutions across the organization. This role demands deep technical expertise in artificial intelligence, machine learning, and intelligent automation platforms, with a strong emphasis on cloud-native (including Microsoft Azure and Amazon Web Services (AWS) solutions). The ideal candidate will have hands-on experience with AI/ML model development, deployment pipelines, and MLOps practices, as well as advanced proficiency in automation platforms such as Microsoft Power Automate and Automation Anywhere. This leader will be responsible for driving innovation through scalable and modular AI architectures, ensuring robust integration and practices- with enterprise systems and standards, and fostering a culture of technical excellence in automation, data, and AI/ML engineering. The Technical Manager will work in close partnership with internal IT stakeholders (architecture, applications, infrastructure analytics, IT operations, informatics), business partners (operations, clinical or shared business services), and external partners (vendors, academic or others) to accomplish program goals for AI, Automation, and AI governance. The ideal candidate will possess excellent communication and technical skills, enabling them to effectively engage with stakeholders at all levels and across the enterprise. A deep understanding of healthcare data and regulatory requirements is essential, as this leader is responsible for ensuring compliance and maintaining the highest standards of data security and privacy. The candidate should have hands-on experience working with classic statistics, classic AI/ML approaches, and generative AI frameworks including their optimization; deploying AI models in production environments; leading development with teams leveraging a range of programming languages (e.g., Python, R, Java), AI tools (e.g., TensorFlow, PyTorch, scikit-learn) and associated enabling technologies including familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud).
 


Responsibilities

  • AI and Automation Strategy Execution: Execute and support delivery of the organization's AI and automation strategy, ensuring alignment with overall business goals and objectives as well as judicious capability development.
  • AI and Automation Solution Implementation: Oversee the deployment of AI solutions often working with solution owner(s), including machine learning models, natural language processing including generative AI, and computer vision applications
  • AI Performance Monitoring: Establish and utilize metrics and processes to monitor the performance and impact of AI solutions, directing adjustments as needed to optimize outcomes and minimize organizational risk. Work with operational owners on business case development.
  • Innovation: Stay current with AI, automation, analytics, and data and AI governance advancements and trends, driving continuous improvement and innovation within the organization.
  • Collaboration and AI/Automation Value: Work closely with IT, data science, and business teams to identify promising AI and automation opportunities, integrate AI and automation solutions into existing and redesigned workflows. Monitor solution outcomes to demonstrate solution value.
  • High Performing Team: Build and maintain a high-performing team through effective coaching, performance management, and team leadership. Foster a culture in which creativity and innovation thrive; identify changes in the technology stack or processes that will motivate innovative problem-solvers. Ability to lead a global, technical staff of internal resources and strategic partners.


Required Qualifications

  • Bachelor of Science IT, Computer Science, Data Science, Biostatistics Healthcare, Business or related field OR an equivalent combination of experience, education and/or training.
  • 5 years related IT experience and a strong understanding of data science, data integration technologies and their applications
  • 3 years experience managing enterprise software development teams
  • 3 years leadership including direct mentoring and managing of others
  • Knowledge of clinical data integration including RESTful and SOAP oriented web service development, ETL technology (SSIS, Data Stage, Informatica, etc.), interface protocol models (HL7, X12), EDI standards, ESB (MuleSoft) knowledge.
  • Experience with database management, data warehousing, SQL, master data management, and data modeling including healthcare common data models.
  • Strong leadership and project management skills, with the ability to inspire and guide cross-functional teams.
  • Expertise in AI technologies, including machine learning, deep learning, and data analytics and the maintenance of these solutions.
  • Excellent communication and presentation skills, with the ability to convey complex AI, automation, data and other technology concepts to non-technical stakeholders.
  • Proven experience in delivering AI and automation projects, with a strong track record of successful AI and automation solution implementations.
  • Experience with business intelligence, analytics, and data visualization platforms.
  • Results-oriented with strong coaching, decision making, influencing, mentoring, negotiation, problem-solving and situational analysis skills.
  • Think innovatively and strategically, keeping in mind organizational goals and objectives.
  • Possess strong analytical thinking skills, ability to deconstruct complex problems and define and implement solutions

Preferred Qualifications

  • Master of Science Computer Science, Biostatistics, Data Science, AI, Information Technology, or a related field.
  • 8 years industry experience, some in health care preferred
  • 5 years experience designing and building analytics solutions across multiple cloud vendors including leveraging open-source ecosystem
  • 5 years experience working with clinical data, preferably with the integration of EHR data, data governance and with analytics supporting a range of solutions
  • Large language modeling (LLM) prompt engineering and other LLM optimization techniques (e.g., RAG – retrieval augmented generation, fine-tuning) experience
  • Experience working with global strategic partners
  • Experience with web services integration and development
  • Thrives in a fast-paced, collaborative environment, efficiently works under pressures, within deadlines or other time essential constraints
  • Experience with JIRA and Confluence and other productivity tools
  • PMP Certification
  • TOGAF or other architectural certification
  • ITIL Foundation Certification
  • Lean IT Management Certification
  • Agile & Scrum Certification
  • Relevant certifications in AI or data science

Benefit Overview

Fairview offers a generous benefit package including but not limited to medical, dental, vision plans, life insurance, short-term and long-term disability insurance, PTO and Sick and Safe Time, tuition reimbursement, retirement, early access to earned wages, and more! Please follow this link foradditional information: https://www.fairview.org/careers/benefits/noncontract


Compensation Disclaimer

The posted pay range is for a 40-hour workweek (1.0 FTE). The actual rate of pay offered within this range may depend on several factors, such as FTE, skills, knowledge, relevant education, experience, and market conditions. Additionally, our organization values pay equity and considers the internal equity of our team when making any offer. Hiring at the maximum of the range is not typical. If your role is eligible for a sign-on bonus, the bonus program that is approved and in place at the time of offer, is what will be honored.


EEO Statement
EEO/Vet/Disabled: All qualified applicants will receive consideration without regard to any lawfully protected statusQualifications:

$132,995.20- $187,761.60 Annual

Education:UNAVAILABLEEmployment Type: UNAVAILABLE

What Fairview Health Services employees say

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About Fairview Health Services

Sourced by ZipRecruiter

Fairview Health Services is an industry-leading, award-winning nonprofit that offers an entire network of healthcare services. Fairview is one part of M Health Fairview, a partnership between the University of Minnesota, M Physicians and Fairview Health Services. Together, we combine the University's deep history of clinical innovation and training with Fairview's extensive roots in community medicine. Our care portfolio includes community hospitals, academic hospitals, primary and specialty care clinics, senior facilities, facilitated living centers, rehabilitation centers, home health care services, counseling, pharmacies and benefit management services.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

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