ZipRecruiter

Log In

1

Senior Network Engineer Jobs in Rochester, MN (NOW HIRING)

Mayo Clinic

Senior AI/ML Architect - AI Program

Rochester, MN · On-site +1

$68.25 - $91.50/hr

Affordable plan with national network. * Pre-Tax Savings: HSA and FSAs for eligible expenses ... Providing strategic direction and technical leadership for complex AI Engineering initiatives.

Mayo Clinic

Senior Producer Director

Rochester, MN · Hybrid

$97K - $136K/yr

Affordable plan with national network. * Pre-Tax Savings: HSA and FSAs for eligible expenses ... Will be responsible for creation of highly complex video programming, such as documentary ...

next page

Showing results 1-20

All JobsSenior Network Engineer JobsSenior Network Engineer Jobs in Rochester, MN

Senior Network Engineer information

See Rochester, MN salary details

$43.2K

$125.8K

$177.9K

How much do senior network engineer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for senior network engineer in Rochester, MN is $125,827.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $144,800.00 per year, depending on experience, location, and employer.

What engineers make $200,000 a year?

Senior Network Engineers can earn $200,000 or more annually, especially with extensive experience, advanced certifications like CCNP or CCIE, and expertise in areas such as cybersecurity, cloud networking, or large-scale infrastructure. High salaries are often found in large organizations or specialized roles requiring advanced skills and certifications.

What are Senior Network Engineers?

Senior Network Engineers are experienced IT professionals responsible for designing, implementing, and managing complex computer networks within organizations. They oversee network infrastructure, troubleshoot issues, ensure network security, and optimize performance. Typically, they lead network projects, mentor junior staff, and collaborate with other IT teams to support business operations. Their expertise covers a range of technologies, including routers, switches, firewalls, and cloud networking.

What are some common challenges faced by Senior Network Engineers when managing large-scale network infrastructures?

Senior Network Engineers often encounter challenges such as integrating new technologies into legacy systems, ensuring network security across a growing number of devices, and maintaining high availability while performing upgrades or troubleshooting. Balancing the demands of multiple stakeholders—like IT, security, and business units—can also be complex. Staying updated with evolving protocols and proactively identifying potential performance bottlenecks are crucial parts of effectively managing large-scale environments.

What Does a Senior Network Engineer Do?

A senior network engineer builds and maintains data communication networks for a company or organization. As a senior network engineer, you have several years of industry experience and lead a team of junior network engineers and network administrators to ensure both the local area network (LAN) and wide area network (WAN) are functioning properly. Your job duties include installing software and hardware, creating a layout plan for cables, and troubleshooting and solving problems that arise with the networks for which you are responsible.

What is the difference between Senior Network Engineer vs Network Administrator?

AspectSenior Network EngineerNetwork Administrator
CertificationsCCNP, CCIE, Cisco certificationsCCNA, CompTIA Network+
Work EnvironmentDesign, implement, and troubleshoot complex networksMaintain and support existing network infrastructure
ResponsibilitiesNetwork architecture, advanced troubleshooting, project leadershipNetwork setup, monitoring, routine maintenance

While both roles involve network management, a Senior Network Engineer focuses on designing and implementing complex network solutions, often leading projects. In contrast, a Network Administrator primarily maintains and supports existing networks, ensuring smooth daily operations.

What engineers make $500,000 a year?

Senior Network Engineers with extensive experience, advanced certifications (such as CCIE), and expertise in high-demand areas like cybersecurity or cloud infrastructure can earn salaries approaching or exceeding $500,000 annually, especially in senior or executive roles within large organizations. Compensation often includes bonuses, stock options, and other incentives for top-tier professionals in the field.

What engineers make $300,000 a year?

Senior Network Engineers with extensive experience, advanced certifications (such as CCIE), and expertise in complex network infrastructure can earn $300,000 or more annually, especially in high-demand industries or senior leadership roles. Compensation varies based on location, company size, and specialization in areas like cybersecurity or cloud networking.

How much does a senior network engineer earn?

A senior network engineer typically earns between $90,000 and $130,000 annually, depending on experience, certifications, and location. They often work with advanced networking tools and protocols, and may hold certifications like CCNP or CISSP to increase earning potential.

What are the key skills and qualifications needed to thrive as a Senior Network Engineer, and why are they important?

To excel as a Senior Network Engineer, you need a deep understanding of network architecture, protocols, security, and typically a bachelor's degree in computer science or a related field. Expertise in configuring and troubleshooting routers, switches, firewalls, and experience with tools like Cisco IOS, Juniper, or cloud networking platforms, along with certifications such as CCNP or CCIE, are highly valued. Strong problem-solving abilities, communication skills, and leadership are crucial for designing solutions and collaborating with IT teams. These competencies ensure reliable, secure, and scalable network infrastructures that support critical business operations.
More about Senior Network Engineer jobs
What are the most commonly searched types of Network Engineer jobs in Rochester, MN? The most popular types of Network Engineer jobs in Rochester, MN are:
What job categories do people searching Senior Network Engineer jobs in Rochester, MN look for? The top searched job categories for Senior Network Engineer jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Senior Network Engineer jobs? Cities near Rochester, MN with the most Senior Network Engineer job openings:
Senior Network Engineer jobs near you
Infographic showing various Senior Network Engineer job openings in Rochester, MN as of June 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $125,827 per year, or $60.5 per hour.
Senior Principal AI/ML Engineer - Research Sovereign AI

Senior Principal AI/ML Engineer - Research Sovereign AI

Mayo Clinic

Rochester, MN • On-site

$127K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement

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

Mayo Clinic rating

7.9

Company rating: 7.9 out of 10

Based on 687 frontline employees who took The Breakroom Quiz

104th of 877 rated healthcare providers

Job description

Position Summary

The Senior Principal AI/ML Engineer  for AI Representation & EMR Vectorization is the senior technical leader and lead scientist responsible for architecting Mayo Clinic's unified multimodal EMR representation layer. This role defines and builds the scientific substrate used by foundational models, clinical agents, and research applications. The individual serves as a hands-on expert and player-coach, guiding technical strategy while contributing directly to model development, graph construction, and representation science. Over time, this position will build and lead a specialized team. 

Key Responsibilities

Scientific & Technical Leadership

  • Design and implement Mayo's multimodal EMR representation AI architecture, including text, imaging, waveform, structured data, temporal sequences, and multi-visit trajectories.
  • Develop graph-based representations and knowledge graphs linking patients, events, attributes, clinical concepts, and embeddings.
  • Integrate graph reasoning, vector similarity search, and hybrid vector-graph pipelines for retrieval-augmented models and agentic reasoning.
  • Define standards for temporal modeling, drift-aware embeddings, and sequence alignment across encounters.

Hands-On Modeling & Engineering

  • Build large-scale embedding pipelines using transformer-based models, contrastive learning, graph neural networks, and hybrid architectures.
  • Implement efficient query layers using vector stores and graph databases.
  • Develop interpretable embedding diagnostics, attribution tools, and graph-based audits to enable safe clinical use.
  • Explore and implement methods for explaining similarity, graph traversals, temporal evolution, and patient-neighborhood reasoning.

Cross-functional Collaboration

  • Work with AI researchers on specialty-specific embeddings, representation refinement, and research prototypes.
  • Collaborate with clinicians to operationalize clinically meaningful features, phenotypes, and longitudinal concepts.
  • Provide scientific input to the Foundational Model Science Program to ensure alignment between representations and model architectures.

Team Leadership

  • Serve as founding technical lead of the Reasoning EMR Representation team.
  • Mentor junior scientists and engineers; build a future team specializing in representation learning and graph-based reasoning.
Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law".  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Required

  • Master's in Computer Science, Machine Learning, Biomedical Engineering, or related field. 9 years of relevant experience, or a bachelor's degree with 11 years of relevant experience. 
  •  Extensive (9+ years) experience applying AI and machine learning in production healthcare environments or similar highly regulated or technology focused industries, showcasing an acute understanding of healthcare technology.
  • Hands-on expertise with graph databases, and knowledge graph construction.
  • Strong experience with transformer-based models, contrastive learning, and temporal modeling.

  • Experience designing or deploying vector search systems and hybrid vector-graph reasoning pipelines.

Preferred

  • PhD or Master's in Computer Science, Machine Learning, Biomedical Engineering, or related field.
  • 10+ years experience building production ML systems, including multimodal architectures and representation learning.
  • Experience with EMR data, healthcare multimodality, or clinical data integration.
  • Experience building patient similarity models, temporal embedding systems, or phenotype discovery pipelines.
  • Strong background in explainability, causality, or interpretable ML.
  • Prior experience in a player-coach or team-lead role.

What Mayo Clinic employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Mayo Clinic logo

About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919

View All Mayo Clinic Jobs

Apply