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Ai Platform Engineer Jobs in Rochester, MN (NOW HIRING)

Horizontal Talent

SR. UX/UI Designer

Rochester, MN · On-site

This individual will partner closely with product owners, software engineers, business analysts ... Experience designing AI-powered applications, conversational interfaces, chat experiences, or ...

New

Sweatpals

Product Manager Internship

Rochester, MN

... platform to run their business, from ticketing and memberships to marketing tools. We're an AI ... Propose and prioritize improvements, then partner with engineering and design to execute them

Sweatpals

Product Manager Internship

Rochester, MN · On-site

... platform to run their business, from ticketing and memberships to marketing tools. We're an AI ... Propose and prioritize improvements, then partner with engineering and design to execute them

Mayo Clinic

Technical Success Manager

Rochester, MN · On-site

$113K - $113K/yr

... Platform prospective and current clients, including executives, technical leaders, engineers ... Candidate has expertise in AI, machine learning, deep learning, statistical data processing ...

Mayo Clinic

Technical Success Manager

Rochester, MN · On-site

$113K - $113K/yr

... Platform prospective and current clients, including executives, technical leaders, engineers ... Candidate has expertise in AI, machine learning, deep learning, statistical data processing ...

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All JobsAi Platform Engineer JobsAi Platform Engineer Jobs in Rochester, MN

Ai Platform Engineer information

See Rochester, MN salary details

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How much do ai platform engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for ai platform engineer in Rochester, MN is $62.44, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $72.07 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.
What are popular job titles related to Ai Platform Engineer jobs in Rochester, MN? For Ai Platform Engineer jobs in Rochester, MN, the most frequently searched job titles are:
What cities near Rochester, MN are hiring for Ai Platform Engineer jobs? Cities near Rochester, MN with the most Ai Platform Engineer job openings:
Ai Platform Engineer jobs near you

SR. UX/UI Designer

Horizontal Talent

Rochester, MN • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

*Must pass a drug test and background check once offered position*


Position Summary
We are seeking an experienced Senior UX/UI Designer to create intuitive, accessible, and user-centered digital experiences for enterprise research applications. This individual will partner closely with product owners, software engineers, business analysts, and research stakeholders to design solutions that improve usability, streamline complex workflows, and support data-driven decision making.
Supporting two strategic initiatives, this role will lead the end-to-end user experience process—from user research and journey mapping through high-fidelity design and developer handoff. The ideal candidate combines strong UX research skills with exceptional visual design capabilities and thrives in Agile, cross-functional environments.
Key Responsibilities
  • Lead the end-to-end UX design process across multiple enterprise applications, from discovery through implementation.
  • Conduct user research, stakeholder interviews, and usability testing to understand user needs and validate design decisions.
  • Create user journeys, task flows, personas, workflows, wireframes, and interactive prototypes.
  • Design high-fidelity user interfaces and detailed design specifications for engineering implementation.
  • Partner closely with product owners, software engineers, business analysts, and research stakeholders throughout the product lifecycle.
  • Establish and promote consistent design patterns, reusable components, and design system best practices across products.
  • Ensure all designs meet accessibility standards (WCAG) and follow user-centered design principles.
  • Present design concepts, rationale, and recommendations to both technical and non-technical audiences.
  • Balance user needs, technical feasibility, and business objectives while delivering elegant design solutions.
  • Iterate on designs using qualitative user feedback, usability testing, and product analytics.

Required Qualifications
  • 5+ years of professional UX/UI design experience designing complex web applications or enterprise software.
  • Strong portfolio demonstrating the complete UX process, including:
    • User research
    • Journey mapping
    • Wireframing
    • Prototyping
    • Interaction design
    • High-fidelity UI design
  • Hands-on experience with Figma (or similar modern design tools) for wireframing, prototyping, and design systems.
  • Experience conducting user interviews, usability testing, and incorporating findings into iterative design improvements.
  • Strong understanding of user-centered design methodologies and accessibility standards (WCAG).
  • Experience working within Agile product teams alongside product managers, developers, and business stakeholders.
  • Excellent communication and presentation skills with the ability to explain design decisions to diverse audiences.

Preferred Qualifications
  • Experience designing AI-powered applications, conversational interfaces, chat experiences, or agentic user experiences.
  • Experience designing data-intensive applications, analytics platforms, or research-focused software.
  • Experience within healthcare, life sciences, biomedical research, or other regulated industries.
  • Experience building or contributing to enterprise design systems and reusable UI component libraries.
  • Experience using analytics and user behavior data to drive design decisions.
  • Basic understanding of generative AI concepts and human-AI interaction patterns.

Nice to Have
  • Experience with service design and workflow optimization.
  • Knowledge of biomedical or clinical research workflows.
  • Experience collaborating with geographically distributed or cross-functional enterprise teams.
  • Familiarity with HTML, CSS, and JavaScript to improve collaboration with front-end engineering teams (coding not required).

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