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Principal Scientist, AI Research
Job in
Menomonee Falls, Waukesha County, Wisconsin, 53051, USA
Listed on 2026-01-14
Listing for:
Ensemble Health Partners
Full Time
position Listed on 2026-01-14
Job specializations:
-
Software Development
AI Engineer
Job Description & How to Apply Below
Thank you for considering a career at Ensemble Health Partners!
Ensemble Health Partners is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country.
Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference!
O.N.EPurpose:
- Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.
- Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation.
- Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results.
Job Summary
- By embodying our core purpose of customer obsession, new ideas, and driving innovation, and delivering excellence, you will help ensure that every touchpoint is meaningful and contributes to our mission of redefining the possible in healthcare.
- The Principal AI Engineer with a minimum of 12 years of experience. In this role, you will lead the design, development, and implementation of advanced AI solutions that will propel our company to the forefront of the industry. The ideal candidate will possess a deep understanding of AI algorithms, machine learning, and data science, coupled with a proven track record of delivering large‑scale AI projects.
Competencies
- Valuing Differences – Works effectively with individuals of diverse cultures, interpersonal styles, abilities, motivations, or backgrounds; seeks out and uses unique abilities, insights, and ideas. Considers the collective.
- Collaboration – Works cooperatively within teams and partners with others, both internally and externally as needed, to achieve success; focuses on the results of the team, not the achievements of one person. It’s “All for One and One for All.”
- Accountability – Accepts personal responsibility and/or consequences of failure and successes, delivering on commitments and refocusing effort when needed. Someone who is willing to step up and own it.
- Time Management – Effectively manages personal time and resources to ensure that work is completed efficiently.
- Developing Trust – Gains others’ confidence by acting with integrity and following through on commitments; treats others and their ideas with respect and supports them in the face of challenges.
- Takes Initiative – Takes prompt action to accomplish goals and achieve results beyond what is required; is proactive and pursues relentlessly.
- Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.
- Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation.
- Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results.
- Lead AI Strategy:
Develop and execute the strategic vision for AI initiatives across the organization. - Project Management:
Oversee the end‑to‑end lifecycle of AI projects, from conception to deployment. - Algorithm Development:
Design and implement state‑of‑the‑art AI algorithms and models. - Data Analysis:
Utilize advanced data analytics to drive decision‑making and optimize AI models. - Team Leadership:
Mentor and guide a team of AI engineers and data scientists, fostering a collaborative and innovative work environment. - Collaboration:
Work closely with cross‑functional teams to integrate AI solutions into various business units. - Research & Innovation:
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