Automation Visa Sponsorship Jobs in Minnesota
Minnesota's automation sector spans medical device manufacturing, food processing, and industrial controls, with major employers like Honeywell, 3M, Ecolab, and Cargill consistently hiring automation engineers and controls specialists. The Twin Cities metro anchors most sponsorship activity, though Rochester and Duluth have growing technical operations. Many automation roles here qualify for H-1B visa and E-3 visa sponsorship.
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Get Access To All JobsINTRODUCTION
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.
BASIC 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.
COMPENSATION
- $132,995.20 - $187,761.60 Annual
INTRODUCTION
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.
BASIC 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.
COMPENSATION
- $132,995.20 - $187,761.60 Annual
Automation Job Roles in Minnesota
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Search Automation Jobs in MinnesotaAutomation Jobs in Minnesota: Frequently Asked Questions
Which companies sponsor visas for automation roles in Minnesota?
Honeywell, 3M, Ecolab, Cargill, Boston Scientific, and Emerson are among the Minnesota employers with histories of sponsoring work visas for automation and controls engineering roles. Medical device manufacturers in the Twin Cities metro and food production companies in greater Minnesota also sponsor regularly, particularly for roles requiring specialized PLC programming, robotics integration, or process automation expertise.
Which visa types are most common for automation roles in Minnesota?
H-1B is the most common visa for automation engineers in Minnesota, covering roles like controls engineer, automation systems engineer, and robotics specialist when a relevant bachelor's degree is required. Australian nationals may qualify for the E-3 visa, which has no lottery. TN visa status is available to Canadian and Mexican engineers under NAFTA successor rules. Some senior roles qualify for O-1 visa sponsorship based on demonstrated expertise.
How to find automation visa sponsorship jobs in Minnesota?
Migrate Mate filters automation roles specifically by visa sponsorship status and state, making it straightforward to identify Minnesota employers actively hiring internationally. Rather than sorting through general job postings manually, Migrate Mate surfaces controls engineers, robotics technicians, and automation systems roles where sponsorship is confirmed or historically documented, saving significant research time for candidates on visa timelines.
Which cities in Minnesota have the most automation sponsorship jobs?
The Minneapolis-St. Paul metro area concentrates the majority of automation sponsorship activity, particularly in sectors like medical devices, industrial manufacturing, and food and beverage processing. Rochester has a smaller but growing base tied to manufacturing operations and proximity to large healthcare employers. Plymouth, Eden Prairie, and Minnetonka within the metro also host significant automation engineering headcount from multinational employers.
Are there state-specific factors that affect automation visa sponsorship in Minnesota?
Minnesota's concentration in regulated industries like medical devices and food processing means automation roles often require compliance with FDA or USDA standards, which can strengthen the specialty occupation case for H-1B purposes. The state's strong engineering pipeline from the University of Minnesota and Minnesota State system creates competitive hiring, but international candidates with niche skills in PLC systems, SCADA, or industrial robotics remain in demand among established manufacturers.
What is the prevailing wage for sponsored automation jobs in Minnesota?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.