CT/MR Field Service Engineer
Houston, TX · On-site
$100K - $120K/yr
Working closely with radiology, biomedical, and clinical teams, you will diagnose technical issues ... We do not use AI to screen applications or conduct interviews.
CT/MR Field Service Engineer
Houston, TX · On-site
$100K - $120K/yr
Working closely with radiology, biomedical, and clinical teams, you will diagnose technical issues ... We do not use AI to screen applications or conduct interviews.
The Team AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and ... systems (labs, radiology, pharmacy, HIEs, devices, revenue cycle partners, public health)
The Team AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and ... systems (labs, radiology, pharmacy, HIEs, devices, revenue cycle partners, public health)
Nuclear Medicine Field Service Engineer
Houston, TX · On-site
$100K - $120K/yr
Working closely with radiology, nuclear medicine, biomedical, and clinical teams, you will diagnose ... We do not use AI to screen applications or conduct interviews.
Nuclear Medicine Field Service Engineer
Houston, TX · On-site
$100K - $120K/yr
Working closely with radiology, nuclear medicine, biomedical, and clinical teams, you will diagnose ... We do not use AI to screen applications or conduct interviews.
Manager Ai Radiology information
See Spring, TX salary details
$20.32 - $23.61
6% of jobs
$23.61 - $26.90
2% of jobs
$26.90 - $30.18
11% of jobs
$31.04 is the 25th percentile. Wages below this are outliers.
$30.18 - $33.47
22% of jobs
The median wage is $35.22 / hr.
$33.47 - $36.75
16% of jobs
$36.75 - $40.04
13% of jobs
$41.39 is the 75th percentile. Wages above this are outliers.
$40.04 - $43.33
12% of jobs
$43.33 - $46.61
5% of jobs
$46.61 - $49.90
5% of jobs
$49.90 - $53.19
4% of jobs
$53.19 - $56.47
3% of jobs
$20
$37
$56
How much do manager ai radiology jobs pay per hour?
As of Jun 7, 2026, the average hourly pay for manager ai radiology in Spring, TX is $37.87, according to ZipRecruiter salary data. Most workers in this role earn between $31.25 and $42.55 per hour, depending on experience, location, and employer.
What is the difference between Manager Ai Radiology vs Radiology Technician?
| Aspect | Manager Ai Radiology | Radiology Technician |
|---|---|---|
| Credentials | Bachelor's degree in healthcare or related field, experience with AI tools | Associate's degree or certification in radiologic technology |
| Work Environment | Healthcare facilities, overseeing AI integration in radiology departments | Hospitals, clinics, performing imaging procedures |
| Employer & Industry | Medical institutions adopting AI solutions, radiology departments | Medical imaging centers, hospitals |
| Primary Focus | Managing AI projects, coordinating between tech and medical staff | Performing imaging scans and basic image analysis |
The Manager Ai Radiology role focuses on overseeing AI implementation and managing teams, while the Radiology Technician performs imaging procedures. Both roles are essential in radiology but differ significantly in responsibilities and required credentials.
What are the most commonly searched types of Ai Radiology jobs in Spring, TX? The most popular types of Ai Radiology jobs in Spring, TX are:
What are popular job titles related to Manager Ai Radiology jobs in Spring, TX? For Manager Ai Radiology jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Manager Ai Radiology jobs in Spring, TX look for? The top searched job categories for Manager Ai Radiology jobs in Spring, TX are:
What cities near Spring, TX are hiring for Manager Ai Radiology jobs? Cities near Spring, TX with the most Manager Ai Radiology job openings:
$100K - $120K/yr
Full-time
Posted 8 days ago
Job description
Job Summary
CT/MR Field Service Engineer
Location: Houston, TX (Full-time, Permanent)
Salary: $100,000 - $120,000 plus full benefits, vehicle allowance or company vehicle, and tools
About the Company:
A well-established imaging service organization supporting hospitals and outpatient facilities with diagnostic imaging equipment service and support. The team is known for delivering high quality technical service, responsive customer support, and reliable equipment uptime across healthcare environments.
Role Overview:
This Field Service Engineer role is based in Houston and will support hospitals and clinics throughout the greater Houston area. You will be responsible for preventative maintenance, troubleshooting, and corrective repairs on CT and MRI systems, ensuring equipment performance and customer satisfaction. Working closely with radiology, biomedical, and clinical teams, you will diagnose technical issues, complete service documentation, manage parts requirements, and provide timely resolution to minimize downtime. Support may also include software updates, system calibrations, and installation assistance when required.
Key Requirements:
• 5+ years of experience servicing CT and MRI systems in a field-based environment
• OEM training from Siemens or GE is strongly preferred, though candidates with experience on other major manufacturers will be considered
• Strong troubleshooting skills across electrical, mechanical, and software-related system faults
• Experience supporting hospital and outpatient imaging environments
• Valid driver's license and ability to travel throughout the Houston area
Ideal Candidate:
• Professional, customer-focused, and comfortable working independently in the field
• Strong communicator who builds lasting relationships with clinical and biomedical teams
• Organized, accountable, and capable of managing a busy service territory
• Committed to delivering exceptional customer service and equipment uptime
Next Steps:
Apply now or contact Sam at nGenium for a confidential discussion.
Candidate experience matters to us. This is a real role and every application is reviewed by a human. We do not use AI to screen applications or conduct interviews.
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CT/MR Field Service Engineer
Location: Houston, TX (Full-time, Permanent)
Salary: $100,000 - $120,000 plus full benefits, vehicle allowance or company vehicle, and tools
About the Company:
A well-established imaging service organization supporting hospitals and outpatient facilities with diagnostic imaging equipment service and support. The team is known for delivering high quality technical service, responsive customer support, and reliable equipment uptime across healthcare environments.
Role Overview:
This Field Service Engineer role is based in Houston and will support hospitals and clinics throughout the greater Houston area. You will be responsible for preventative maintenance, troubleshooting, and corrective repairs on CT and MRI systems, ensuring equipment performance and customer satisfaction. Working closely with radiology, biomedical, and clinical teams, you will diagnose technical issues, complete service documentation, manage parts requirements, and provide timely resolution to minimize downtime. Support may also include software updates, system calibrations, and installation assistance when required.
Key Requirements:
• 5+ years of experience servicing CT and MRI systems in a field-based environment
• OEM training from Siemens or GE is strongly preferred, though candidates with experience on other major manufacturers will be considered
• Strong troubleshooting skills across electrical, mechanical, and software-related system faults
• Experience supporting hospital and outpatient imaging environments
• Valid driver's license and ability to travel throughout the Houston area
Ideal Candidate:
• Professional, customer-focused, and comfortable working independently in the field
• Strong communicator who builds lasting relationships with clinical and biomedical teams
• Organized, accountable, and capable of managing a busy service territory
• Committed to delivering exceptional customer service and equipment uptime
Next Steps:
Apply now or contact Sam at nGenium for a confidential discussion.
Candidate experience matters to us. This is a real role and every application is reviewed by a human. We do not use AI to screen applications or conduct interviews.
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