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Healthcare Ai Jobs (NOW HIRING)

SDE-II, Healthcare AI

Mountain View, CA · On-site +1

$115K - $157K/yr

The Healthcare AI organization in AWS is seeking a Software Development Engineer to build Amazon Connect Health. Our products leverage cloud computing and artificial intelligence to improve health ...

SDE-II, Healthcare AI

Mountain View, CA · On-site +1

$115K - $157K/yr

The Healthcare AI organization in AWS is seeking a Software Development Engineer to build Amazon Connect Health. Our products leverage cloud computing and artificial intelligence to improve health ...

SDE-II, Healthcare AI

Mountain View, CA · On-site

$115K - $157K/yr

The Healthcare AI organization in AWS is seeking a Software Development Engineer to build Amazon Connect Health. Our products leverage cloud computing and artificial intelligence to improve health ...

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Healthcare Ai information

See salary details

$31.5K

$77.4K

$125K

How much do healthcare ai jobs pay per year?

As of Jul 26, 2026, the average yearly pay for healthcare ai in the United States is $77,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $98,000.00 per year, depending on experience, location, and employer.

What are some typical challenges Healthcare AI professionals face when implementing new technologies in clinical settings?

Healthcare AI professionals often encounter challenges such as integrating AI solutions with legacy health record systems, ensuring data privacy and compliance with regulations like HIPAA, and addressing skepticism or resistance from clinical staff. They must also work closely with multidisciplinary teams—including clinicians, IT staff, and administrators—to tailor AI tools to real-world workflows and patient needs. Effective communication and ongoing user training are crucial for successful adoption and long-term impact.

What is Healthcare AI?

Healthcare AI refers to the use of artificial intelligence technologies in the medical and healthcare fields. These technologies analyze complex medical data, support diagnostic processes, automate administrative tasks, and help in patient monitoring and personalized treatment plans. Healthcare AI applications include predictive analytics, medical imaging analysis, natural language processing for clinical documentation, and virtual health assistants. The goal is to improve patient outcomes, increase efficiency, and reduce costs while maintaining high standards of patient care.

What are the key skills and qualifications needed to thrive as a Healthcare AI specialist, and why are they important?

To thrive as a Healthcare AI specialist, you need a solid background in computer science, machine learning, and health informatics, typically supported by degrees in these fields or related certifications. Familiarity with programming languages (such as Python or R), AI frameworks (like TensorFlow or PyTorch), and healthcare data systems (such as EHRs) is essential. Strong problem-solving abilities, attention to detail, and effective communication skills help translate complex AI solutions into practical healthcare improvements. These skills enable the development of innovative, safe, and compliant AI tools that enhance patient outcomes and streamline healthcare operations.

What is the difference between Healthcare Ai vs Medical Data Analyst?

AspectHealthcare AiMedical Data Analyst
Required CredentialsBackground in AI, machine learning, healthcare informaticsDegree in health informatics, data analysis, or related fields
Work EnvironmentTech-focused teams, healthcare institutions, research labsHospitals, clinics, healthcare organizations, research settings
Employer & Industry UsageHealthcare tech companies, hospitals integrating AI solutionsHealthcare providers, insurance companies, research institutions
Common Search & ComparisonFocuses on AI applications in healthcareFocuses on analyzing healthcare data for insights

Healthcare Ai involves developing and applying artificial intelligence technologies to improve healthcare services, diagnostics, and patient outcomes. Medical Data Analysts interpret healthcare data to generate insights, support decision-making, and improve operational efficiency. While both roles work within healthcare, Healthcare Ai emphasizes AI development and implementation, whereas Medical Data Analysts focus on data analysis and reporting.

More about Healthcare Ai jobs
What cities are hiring for Healthcare Ai jobs? Cities with the most Healthcare Ai job openings:
What states have the most Healthcare Ai jobs? States with the most job openings for Healthcare Ai jobs include:
What job categories do people searching Healthcare Ai jobs look for? The top searched job categories for Healthcare Ai jobs are:
Infographic showing various Healthcare Ai job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $77,368 per year, or $37.2 per hour.
Agentic AI Engineer - Healthcare AI

Agentic AI Engineer - Healthcare AI

Deloitte

Arlington, VA • On-site

Full-time

Posted 18 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

58th of 150 rated financial services


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