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Manager Healthcare Artificial Intelligence Jobs (NOW HIRING)

LMI

Artificial Intelligence Lead

With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy ... Implement and manage MLOps practices, including model versioning, monitoring, validation, and ...

Arcticwolf

Senior Manager, Artificial Intelligence

  • Medical

  • Dental

  • Life

  • Retirement

We're looking for a Senior Manager, Artificial Intelligence to be part of making that happen. About ... Robust Employee Assistance Program (EAP) with mental health services * Fertility support and paid ...

Ivy Tech

Faculty Fellow - Artificial Intelligence

Lafayette, IN

$47K - $64K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Program Management: Maintain office hours in accordance with the faculty loading guidelines in the ... Responsible and Ethical AI * Healthcare AI * Cybersecurity and AI Ivy Tech is committed to ...

Socket.dev

Senior Product Manager, Healthcare

California, MO · On-site

$160 - $180/hr

  • Medical

  • Dental

  • Vision

  • PTO

ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and ... The Healthcare vertical product manager will work with a core vertical team to help lead execution ...

New

Insperity

Artificial Intelligence Engineer I

Houston, TX

  • Medical

  • Dental

  • Vision

  • PTO

... health & wellness support, paid volunteer hours and much more. We take care of our people so that ... The Artificial Intelligence Engineer I focuses on building strong SQL and data management ...

Varsity Tutors

Artificial Intelligence (AI) Tutor

GA · Remote

$18 - $40/hr

What We Look For In a Artificial Intelligence (AI) Tutor * Advanced Subject Mastery: Deep knowledge ... healthcare, autonomous systems, and creative applications. * Curriculum Awareness & Adaptive ...

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Manager Healthcare Artificial Intelligence information

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How much do manager healthcare artificial intelligence jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for manager healthcare artificial intelligence in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $32.69 per hour, depending on experience, location, and employer.

What does a manager healthcare artificial intelligence do?

A Manager of Healthcare Artificial Intelligence oversees the development, implementation, and management of AI technologies within healthcare organizations. They lead teams of data scientists, engineers, and healthcare professionals to create solutions that improve patient care, streamline operations, and support clinical decision-making. Their responsibilities often include project management, strategy development, regulatory compliance, and ensuring that AI systems are ethical and effective. This role requires knowledge of both healthcare practices and advanced AI technologies to bridge the gap between clinical needs and technical solutions.

What are the key skills and qualifications needed to thrive as a manager healthcare artificial intelligence?

To thrive as a Manager Healthcare Artificial Intelligence, you need expertise in AI technologies, healthcare data analytics, and project management, typically supported by a degree in computer science, healthcare informatics, or a related field. Familiarity with machine learning platforms, programming languages (such as Python or R), and healthcare data systems like EHRs, as well as certifications such as PMP or healthcare AI credentials, is important. Strong leadership, communication, and problem-solving skills help foster collaboration between technical teams and healthcare stakeholders. These skills and qualities are essential to drive successful AI initiatives that improve patient outcomes and operational efficiency in healthcare organizations.

How does a manager healthcare artificial intelligence typically collaborate with clinical and IT teams to implement AI solutions?

Manager Healthcare Artificial Intelligence professionals often serve as a bridge between clinical staff and IT departments. They facilitate communication to ensure AI solutions align with clinical needs, regulatory requirements, and existing technology infrastructure. This collaboration often involves regular meetings to gather requirements, coordinate pilot testing, and integrate feedback from end-users such as doctors and nurses. By fostering cross-functional teamwork, they help ensure AI tools are both technically robust and clinically relevant, ultimately supporting better patient outcomes.

What is the difference between Manager Healthcare Artificial Intelligence vs Data Scientist Healthcare?

AspectManager Healthcare Artificial IntelligenceData Scientist Healthcare
Required CredentialsBachelor's/Master's in Healthcare, AI, or related fields; experience in AI project managementBachelor's/Master's/PhD in Data Science, Computer Science, or related fields; strong statistical and programming skills
Work EnvironmentLeads AI teams, collaborates with healthcare providers, manages projectsAnalyzes healthcare data, develops models, interprets data insights
Employer & Industry UsageHospitals, healthcare tech companies, research institutionsHealthcare organizations, biotech firms, research labs

The Manager Healthcare Artificial Intelligence focuses on leading AI projects and managing teams within healthcare settings, while Data Scientists analyze healthcare data and develop models. Both roles require technical expertise, but the manager emphasizes leadership and project oversight, whereas the data scientist concentrates on data analysis and model development.

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Manager Healthcare Artificial Intelligence jobs near you
Infographic showing various Manager Healthcare Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $54,806 per year, or $26.3 per hour.

Artificial Intelligence Lead

LMI

Remote

Other

Re-posted 19 days ago

Job description

Overview
LMI is seeking an experienced Artificial Intelligence (AI) Lead to support the General Services Administration (GSA) in delivering advanced AI-enabled capabilities within a modern, web-based acquisitions system. This initiative modernizes Governmentwide Indefinite Delivery Vehicle (IDV) contracting through modular, cloud-based services that improve efficiency, automation, and decision support across the acquisition lifecycle.
The AI Lead will serve as the senior authority responsible for defining and implementing the AI technical approach across the program. This individual must possess deep, hands-on expertise in integrating and orchestrating multiple AI agents into a cohesive, autonomous ecosystem and ensure the development team consistently follows that approach. AI capabilities are designed to provide decision support and transparency while preserving human oversight and contracting officer judgment.
The ideal candidate combines advanced AI/ML expertise, production-level deployment experience, federal governance knowledge, and the ability to lead cross-functional teams in secure, cloud-based environments.
This position is anticipated to be majority remote, but with the ability to travel and visit the client's offices in Washington, D.C. as frequently as needed.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
AI Strategy & Technical Leadership
  • Serve as the primary authority for AI architecture, research, and implementation
  • Define and oversee the technical approach for integrating and orchestrating multiple AI agents into a unified ecosystem
  • Align AI initiatives with program objectives and GSA modernization goals
  • Evaluate emerging AI technologies and guide their responsible application

Applied AI Delivery & Machine Learning Operations
  • Lead design, development, and deployment of scalable AI/ML models into production environments
  • Implement and manage MLOps practices, including model versioning, monitoring, validation, and lifecycle management
  • Integrate model development and deployment workflows into CI/CD pipelines
  • Ensure AI solutions are reliable, performant, and maintainable within enterprise cloud environments

Federal AI Governance & Compliance
  • Align AI implementations with federal IT standards and agency governance requirements
  • Incorporate guidance from the NIST AI Risk Management Framework (AI RMF) and related cybersecurity standards.
  • Support security documentation and controls required for the Authorization to Operate (ATO) process for cloud-based systems
  • Champion ethical, transparent, and compliant use of AI and data across the program
  • Ensure data provenance, model transparency, explainability, and auditability to support trust and oversight.

Cloud & DevSecOps Integration
  • Deploy and manage AI workloads within secure AWS cloud environments
  • Integrate security controls across the AI lifecycle consistent with DevSecOps principles
  • Ensure AI components adhere to secure coding standards, access controls, and cloud security best practices
  • Collaborate with team leadership to maintain compliance and audit readiness

Team & Stakeholder Collaboration
  • Lead and mentor the team as needed
  • Manage complex AI initiatives across multidisciplinary teams
  • Communicate AI concepts, risks, and tradeoffs clearly to technical and non-technical stakeholders
  • Foster a culture of innovation, experimentation, and responsible AI adoption

Qualifications
Required Qualifications
  • Demonstrated experience serving as an AI Lead (or equivalent role) on complex enterprise or federal technology programs
  • Advanced knowledge of AI, machine learning, deep learning, and data science concepts (Master's or Ph.D. strongly preferred)
  • Proven track record designing, developing, and deploying AI/ML solutions into production environments
  • Experience implementing MLOps practices and integrating model deployment into CI/CD pipelines
  • Experience deploying and managing AI workloads within AWS cloud environments
  • Strong understanding of federal IT standards, AI governance, and ATO-related security requirements
  • Excellent written and verbal communication skills

Desired Qualifications
  • Experience supporting GSA or other federal AI modernization initiatives
  • Familiarity with multi-agent AI architectures and autonomous workflow orchestration
  • Relevant certifications in cloud, AI/ML, or security disciplines
  • Experience implementing AI solutions in highly regulated or compliance-driven environments

The target salary range for this position is $148,301-$255,653.
The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.
Job Locations
US-Remote

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