Artificial Intelligence Engineer

Healthcare IS; Montana; On-site; USD 90,000 - 120,000; Full time

Job summary

Healthcare IS is partnering with a healthcare organization to build an AI program from the ground up, focused on practical improvements to hospital operations.

We seek an AI Engineer II with healthcare data science, analytics, ML, or clinical informatics experience to help shape AI adoption across departments and Revenue Cycle functions.

Qualifications

• Healthcare experience in a hospital or health system.
• Experience in data science, analytics, ML, or informatics.
• Ability to analyze complex data and translate to actionable improvements.
• Strong communication with clinical, financial, and executive stakeholders.

Responsibilities

• Collaborate with clinical and operational teams to identify AI opportunities.
• Analyze healthcare data and workflows to identify inefficiencies.
• Support development of predictive analytics and ML models.
• Work on Revenue Cycle and financial performance initiatives.
• Partner with stakeholders to translate business needs into AI solutions.
• Develop and share best practices for responsible AI implementation.

Skills

Healthcare experience

Data science

Predictive analytics

Machine learning

Healthcare informatics

Communication

Independent work

Willingness to learn

Tools

Python

SQL

R

Azure AI

Low-code platforms

Job description

AI Engineer II – Healthcare Data Science & Innovation

Position Overview

Healthcare IS is partnering with a healthcare organization that is building an innovative Artificial Intelligence (AI) program from the ground up. We are seeking an AI Engineer II with a background in healthcare data science, predictive analytics, machine learning, or clinical informatics who is interested in helping shape how AI is utilized across hospital operations.

This is an opportunity to be involved in the early development of an AI program with strong executive leadership support and a focus on delivering practical, measurable improvements to healthcare operations.

Unlike traditional AI engineering positions, this role places significant value on healthcare experience, analytical problem-solving, and the ability to collaborate with clinical and operational stakeholders.

The ideal candidate understands the complexities of hospital environments and has the technical foundation to help develop and implement AI-driven solutions.

Key Responsibilities

• Collaborate with hospital leadership, physicians, clinical teams, and operational departments to identify opportunities for AI and automation.
• Analyze healthcare data and workflows to identify inefficiencies and opportunities for improvement.
• Support the development of predictive analytics, machine learning models, and AI-driven solutions.
• Work on initiatives involving Revenue Cycle operations, including claims, billing, denials, and financial performance.
• Assist with clinical analytics and workflow optimization initiatives.
• Leverage Microsoft's AI technology ecosystem and low-code development capabilities to develop practical solutions.
• Evaluate existing workflows and recommend appropriate technology, automation, or process improvements.
• Partner with technical and nontechnical stakeholders to translate business needs into effective solutions.
• Participate in developing AI best practices, education, and responsible implementation across the organization.

Required Qualifications

• Professional experience within healthcare, preferably a hospital or health system.
• Experience in data science, healthcare analytics, predictive analytics, machine learning, or a closely related discipline.
• Understanding of hospital Revenue Cycle operations, clinical workflows, or healthcare informatics.
• Demonstrated ability to analyze complex data and develop practical solutions to operational challenges.
• Strong communication and interpersonal skills, including the ability to collaborate with clinical, financial, and executive stakeholders.
• Ability to work independently, identify opportunities for improvement, and contribute to a developing technology program.
• Willingness to learn and expand technical capabilities within AI engineering.

Preferred Qualifications

• Experience with Python, SQL, R, or similar analytical and programming technologies.
• Experience developing predictive models, forecasting solutions, or machine learning applications.
• Familiarity with Microsoft's AI ecosystem, Azure AI technologies, or low-code automation platforms.
• Experience with hospital Revenue Cycle analytics, claims denial prediction, billing, or coding.
• Clinical informatics experience, including working directly with physicians, nurses, or clinical leadership.
• Experience with healthcare data integration, workflow automation, or process improvement.
• Familiarity with healthcare information systems and electronic health records.

Why Consider This Opportunity?

Build Something from the Ground Up

Join an organization in the early stages of developing its AI program, with the opportunity to influence its direction, priorities, and technology initiatives.

Work with a leadership team committed to responsible AI innovation and investing in technology that improves healthcare operations.

Help identify and implement solutions that improve Revenue Cycle performance, streamline clinical workflows, and support better operational decisions.

Professional Growth

Work alongside an experienced AI leader who is committed to mentoring and developing the right individual. Candidates with strong healthcare and analytical backgrounds will have opportunities to expand their AI engineering expertise.

Become part of a growing program with opportunities for increased responsibility and career advancement as the organization's AI capabilities mature.