AI Data Engineer Visa Sponsorship Jobs in Minnesota
Minnesota's AI data engineer hiring is anchored by companies like Target, UnitedHealth Group, and 3M in the Twin Cities metro, alongside a growing university research pipeline from the University of Minnesota. Minneapolis and Saint Paul hold the highest concentration of roles, with sponsorship activity spanning retail tech, healthcare analytics, and enterprise software.
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Get Access To All JobsAbout Our Company
We’re a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. Our team of 22,000 people across 19 countries serves more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses – Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world.
Job Description
Drive enterprise transformation by designing and implementing advanced AI and analytics solutions that address complex business challenges. Lead the design, engineering, and deployment of predictive analytics, machine learning models, and intelligent automation frameworks to enable data-driven decision-making at scale. Partner with Enterprise Architecture to define strategic vision, establish technical standards, and shape long-term roadmaps for AI and analytics adoption. As a technical thought leader, collaborate with cross-functional teams to deliver robust, cloud-native architectures leveraging AI technologies, big data platforms, and modern engineering practices. Champion innovation and ensure alignment with enterprise objectives through rigorous governance and architectural excellence.
Key Responsibilities
-
Architect and implement end-to-end AI solutions, including data ingestion, feature engineering, model training, deployment, and monitoring. Enable predictive analytics, machine learning, and intelligent automation frameworks to support enterprise-scale decision-making. Design cloud-native architectures leveraging AWS, Azure, or GCP for AI workloads and analytics platforms.
-
Integrate BI and advanced analytics tools into enterprise data ecosystems.
-
Independently oversee assignments in the design, detailed configuration, integration, and upgrade of existing and future technologies in Advanced AI and Enterprise Data Analytics. Work with architecture and application teams to develop strategy and roadmaps, plan, design, review, and approve robust, stable, scalable, and manageable designs. Perform problem diagnosis, initiate problem resolution, and provide ongoing life-cycle support for new technology deployments and upgrades.
-
Manage effective relationships and work in partnership with leadership, architecture, application team members, vendors, infrastructure, monitoring, procurement, security, and all other cross commit teams to deliver solutions that take advantage of cloud-first strategy, while ensuring that service level commitments are met.
-
Create and approve solutions in advanced AI and analytics solutions that address complex business challenges. Oversee new solutions through proof-of-concept processes. Identify and contribute to use case creation. Recommend, deploy, and document design strategies and solutions for complex engineering problems. Independently identify key issues, patterns, and deviations during analysis. Recommend robust solutions utilizing pragmatic judgment, creativity, and in-depth technical knowledge and evaluation techniques.
-
Collaborate with application and architecture team members to ensure project scoping activities are aligned with architectural objectives and long-term portfolio roadmap. Utilize performance data and historical metrics to effectively plan for growth needs; upgrades, migrations, optimizations, and new implementations; identify and resolve efficiency issues; and improve overall functionality. Manage hand-over design solutions and provide testing support and validation prior to release of new and upgraded technologies.
-
Provide thought leadership and influence the refinement of processes, policies, and best practices to ensure the optimal performance and availability of technologies. Promote re-use and develop consistent technical build, implementation, and support processes. Oversee the validation of, and adherence to, defined standards. Ensure designs are secure and the closure of open problem tickets. Ensure improvements align with existing principles and Systems Development Life Cycle methodologies, engineering principles, and portfolio long term roadmap.
-
Continuously develop specialized knowledge and technical subject matter expertise by remaining apprised of industry trends, the direction of emerging technologies, and their potential value to the business. Effectively present the value proposition of business-appropriate emerging technologies to technology leadership.
Required Qualifications
-
7-10+ years of experience in engineering and integration technology and/or software development, progressing in complexity and responsibility.
-
Ability to communicate and articulate technical information across various organizational teams and levels.
-
Proven high reasoning aptitude and ability to quickly understand and respond in complex operating environments.
-
Ability to coach and mentor experienced engineering staff.
-
Ability to think strategically and solve complex business and technical problems.
-
Advanced knowledge in Cloud-native architectures (Azure/AWS/GCP).
-
Experience with foundational AI services such as LLMs, Agentic AI, AWS Bedrock and Agent Core, and MLOps frameworks for CI/CD, model versioning, and automated retraining.
-
Expertise in ML frameworks (TensorFlow, PyTorch) and distributed computing (Spark, Ray), Data platforms (Databricks, Snowflake, BigQuery) and Container orchestration (Kubernetes, Docker).
Preferred Qualifications
-
Experience with DevOps tools and automation of software build, test, and deployment processes.
-
Experience designing and implementing software delivery pipelines.
-
Experience with developing and deploying containers, and use of container runtimes and registries.
-
Experience with cloud providers such as AWS, Azure, or GCP, and deploying and managing applications at (one of) these providers.
Base Pay Salary
The estimated base salary for this role is $145,000 - $210,000/ year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurance.
Full-Time/Part-Time
Full time
Exempt/Non-Exempt
Exempt
Job Family Group
Technology
Line of Business
TECH Technology
Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, military status, veteran status, genetic information, citizenship, disability status, marital status, family status or any other basis prohibited by law.
We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.
About Our Company
We’re a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. Our team of 22,000 people across 19 countries serves more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses – Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world.
Job Description
Drive enterprise transformation by designing and implementing advanced AI and analytics solutions that address complex business challenges. Lead the design, engineering, and deployment of predictive analytics, machine learning models, and intelligent automation frameworks to enable data-driven decision-making at scale. Partner with Enterprise Architecture to define strategic vision, establish technical standards, and shape long-term roadmaps for AI and analytics adoption. As a technical thought leader, collaborate with cross-functional teams to deliver robust, cloud-native architectures leveraging AI technologies, big data platforms, and modern engineering practices. Champion innovation and ensure alignment with enterprise objectives through rigorous governance and architectural excellence.
Key Responsibilities
-
Architect and implement end-to-end AI solutions, including data ingestion, feature engineering, model training, deployment, and monitoring. Enable predictive analytics, machine learning, and intelligent automation frameworks to support enterprise-scale decision-making. Design cloud-native architectures leveraging AWS, Azure, or GCP for AI workloads and analytics platforms.
-
Integrate BI and advanced analytics tools into enterprise data ecosystems.
-
Independently oversee assignments in the design, detailed configuration, integration, and upgrade of existing and future technologies in Advanced AI and Enterprise Data Analytics. Work with architecture and application teams to develop strategy and roadmaps, plan, design, review, and approve robust, stable, scalable, and manageable designs. Perform problem diagnosis, initiate problem resolution, and provide ongoing life-cycle support for new technology deployments and upgrades.
-
Manage effective relationships and work in partnership with leadership, architecture, application team members, vendors, infrastructure, monitoring, procurement, security, and all other cross commit teams to deliver solutions that take advantage of cloud-first strategy, while ensuring that service level commitments are met.
-
Create and approve solutions in advanced AI and analytics solutions that address complex business challenges. Oversee new solutions through proof-of-concept processes. Identify and contribute to use case creation. Recommend, deploy, and document design strategies and solutions for complex engineering problems. Independently identify key issues, patterns, and deviations during analysis. Recommend robust solutions utilizing pragmatic judgment, creativity, and in-depth technical knowledge and evaluation techniques.
-
Collaborate with application and architecture team members to ensure project scoping activities are aligned with architectural objectives and long-term portfolio roadmap. Utilize performance data and historical metrics to effectively plan for growth needs; upgrades, migrations, optimizations, and new implementations; identify and resolve efficiency issues; and improve overall functionality. Manage hand-over design solutions and provide testing support and validation prior to release of new and upgraded technologies.
-
Provide thought leadership and influence the refinement of processes, policies, and best practices to ensure the optimal performance and availability of technologies. Promote re-use and develop consistent technical build, implementation, and support processes. Oversee the validation of, and adherence to, defined standards. Ensure designs are secure and the closure of open problem tickets. Ensure improvements align with existing principles and Systems Development Life Cycle methodologies, engineering principles, and portfolio long term roadmap.
-
Continuously develop specialized knowledge and technical subject matter expertise by remaining apprised of industry trends, the direction of emerging technologies, and their potential value to the business. Effectively present the value proposition of business-appropriate emerging technologies to technology leadership.
Required Qualifications
-
7-10+ years of experience in engineering and integration technology and/or software development, progressing in complexity and responsibility.
-
Ability to communicate and articulate technical information across various organizational teams and levels.
-
Proven high reasoning aptitude and ability to quickly understand and respond in complex operating environments.
-
Ability to coach and mentor experienced engineering staff.
-
Ability to think strategically and solve complex business and technical problems.
-
Advanced knowledge in Cloud-native architectures (Azure/AWS/GCP).
-
Experience with foundational AI services such as LLMs, Agentic AI, AWS Bedrock and Agent Core, and MLOps frameworks for CI/CD, model versioning, and automated retraining.
-
Expertise in ML frameworks (TensorFlow, PyTorch) and distributed computing (Spark, Ray), Data platforms (Databricks, Snowflake, BigQuery) and Container orchestration (Kubernetes, Docker).
Preferred Qualifications
-
Experience with DevOps tools and automation of software build, test, and deployment processes.
-
Experience designing and implementing software delivery pipelines.
-
Experience with developing and deploying containers, and use of container runtimes and registries.
-
Experience with cloud providers such as AWS, Azure, or GCP, and deploying and managing applications at (one of) these providers.
Base Pay Salary
The estimated base salary for this role is $145,000 - $210,000/ year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurance.
Full-Time/Part-Time
Full time
Exempt/Non-Exempt
Exempt
Job Family Group
Technology
Line of Business
TECH Technology
Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, military status, veteran status, genetic information, citizenship, disability status, marital status, family status or any other basis prohibited by law.
We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.
AI Data Engineer Job Roles in Minnesota
See all 70+ AI Data Engineer Jobs in Minnesota
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Search AI Data Engineer Jobs in MinnesotaAI Data Engineer Jobs in Minnesota: Frequently Asked Questions
Which companies sponsor visas for AI data engineers in Minnesota?
The most active sponsors for AI data engineer roles in Minnesota include Target, UnitedHealth Group, 3M, Optum, and Cargill, primarily headquartered in the Twin Cities. Mid-sized tech firms and healthcare analytics companies in the Minneapolis metro also file H-1B petitions regularly for this role. Sponsorship is most common at larger enterprises with established immigration programs and dedicated HR infrastructure.
Which visa types are most common for AI data engineers in Minnesota?
The H-1B is the most common visa category for AI data engineers in Minnesota, as the role typically qualifies as a specialty occupation requiring a relevant bachelor's degree or higher in computer science, data science, or a related field. Candidates already on F-1 OPT or STEM OPT extensions may be sponsored for H-1B cap-subject petitions through employers who file in the annual April lottery.
How to find ai data engineer visa sponsorship jobs in Minnesota?
Migrate Mate is built specifically for international job seekers and filters AI data engineer roles in Minnesota by visa sponsorship history, so you're not manually sifting through postings from companies that don't sponsor. Search by role and state on Migrate Mate to surface employers like Target, UnitedHealth Group, and Optum that have a documented track record of sponsoring H-1B petitions for data engineering positions.
Which cities in Minnesota have the most AI data engineer sponsorship jobs?
Minneapolis and Saint Paul account for the vast majority of AI data engineer sponsorship activity in Minnesota. The broader Twin Cities metro, including suburbs like Bloomington, Minnetonka, and Eden Prairie, is where most major corporate headquarters and tech campuses are based. Rochester has a secondary concentration driven by Mayo Clinic's data science and health AI initiatives, which regularly require engineering talent.
Are there state-specific considerations for AI data engineers pursuing sponsorship in Minnesota?
Minnesota's employer base skews heavily toward healthcare, retail, and agriculture technology, meaning AI data engineer roles here often involve domain-specific pipelines, such as clinical data or supply chain analytics, rather than general consumer tech. The University of Minnesota produces a steady pipeline of graduate talent in machine learning and data engineering, which keeps competition for roles meaningful. Employers must meet Department of Labor prevailing wage requirements when filing an LCA for H-1B sponsorship.
What is the prevailing wage for sponsored ai data engineer 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.
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