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Ensemble Health Partners

AI Engineer

Posted 23 Days Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
The AI Engineer will develop and implement machine learning models and pipelines, focusing on generative AI, collaborating with data scientists and product teams to solve healthcare challenges.
The summary above was generated by AI

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.E Purpose:

  • 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.

The Opportunity:

Thank you for considering a career at Ensemble Health Partners!

Healthcare impacts each of us, yet the current system remains fundamentally broken. Many of us have seen loved ones face the devastating challenge of unaffordable care.

At Ensemble, we are committed to changing this reality by driving down healthcare costs and eliminating obstacles, creating a system that truly puts people first, last, and always.

We are dedicated to revolutionizing healthcare with cutting-edge, technology-enabled revenue cycle management solutions for health systems. We’re here to solve how to reduce the friction and improve the cost of healthcare for better client and patient outcomes. As a leader in revenue technology, Ensemble is redefining what is possible in healthcare through innovation, purpose and human-centered solutions. We offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country.

Why do we do what we do? It’s all about our O.N.E Purpose:

Our commitment to transforming healthcare goes beyond technology and innovation. It’s rooted in a purpose-driven approach that emphasizes customer obsession, embraces new ideas, and strives for excellence—principles that define our O.N.E Purpose and inspire everything we do.

  • 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.

Enabling healthcare professionals with technological solutions is key to the future of healthcare, and at Ensemble, we are solving problems in healthcare with AI.

Are you passionate about leveraging AI to solve complex problems in healthcare? Do you want to be part of a team that is transforming the industry with cutting-edge technology? Join Ensemble Health Partners to leverage the superpower of AI to solve some of the most complex problems in healthcare.

Why Join Us?

  • People First, Last + Always: At Ensemble, we prioritize people over processes, valuing your contributions, supporting your growth and enabling you to make a difference every day.

  • Make a Difference with Purposeful Work: By leveraging cutting-edge AI technology, you will play a vital part in reducing healthcare costs, revolutionizing care delivery and enhancing the patient experience.

  • Innovate Boldly in a Dynamic Environment: Thrive in a dynamic, entrepreneurial culture within an organization that champions creativity and groundbreaking ideas.

  • Shape the Future of Healthcare Across a Robust Client Base: Drive change across a vast client base, empowering healthcare systems at an unprecedented pace. When you innovate here, the ripple effect is enormous.

  • Technology-Driven Innovation: Since 2021, our patented innovations and EIQ has reshaped healthcare through cutting-edge innovation.

Job Summary

Take on a pivotal role in addressing healthcare’s toughest challenges with advanced AI solutions. As a Lead AI Engineer, you’ll design and implement AI and machine learning models and pipelines – focusing on generative AI, large language models (LLMs) and predictive analytics. Your work will enable hospitals and health systems to operate more efficiently and deliver better patient outcomes.

The ideal candidate will have expertise in system design, large dataset management and hands on experience with AI frameworks and retrieval augmented generation pipelines. Collaboration with data scientists and product leads will be central to delivering impactful, innovative solutions that redefine healthcare.

Essential Job Functions

  • Design and develop AI algorithms and systems for clinical applications

  • Evaluate and deploy models to address complex problems with multimodal data sets

  • Utilize advanced techniques (deep learning, neural networks, ML algorithms) to generate business insights drive decision-making

  • Automate processes and build infrastructure for the AI team and collaborators

  • Foster collaboration between Data Scientists, Product Analysts and the wider organization

  • Drive innovation to scale growth through technology, standardization and optimization, ensuring a gold standard of excellence

Other Preferred Knowledge, Skills and Abilities

  • 5+ years’ experience implementing AI / ML machine learning solutions.

  • Bachelors / Masters in relevant fields or equivalent experience in designing, building and evaluating Machine Learning systems.

  • 3+ years’ experience with tools such as pytorch/tensorflow, scikit-learn, xgboost or equivalent.

  • Understanding of MLOps, cloud platforms (Azure / GCP / AWS) and AI toolsets

  • Experience with data / code pipelines and deploying Machine Learning models.

  • Familiarity with LLM-enabled tools (e.g. langchain / llamaindex / haystack / Azure AI studio, vector databases) and retrieval techniques

  • Strong database skills (SQL, Azure Data Factory, etc.) or Big Data Frameworks (e.g. Hadoop, Spark).

  • Skilled in Software Development best practices (Continuous Integration, Unit/Integration Testing, Code Reviews).

  • Works well independently and in a team-based, fast-paced environment.

  • Excellent written and verbal communication skills.

Job Experience

  • 7 to 10 Years

Education Level

  • Bachelor's/Master’s Degree or Equivalent Experience

About Ensemble Health Partners

Ensemble Health Partners is at the forefront of healthcare innovation, investing over $70 million annually in technology research and development. With 11 technology patents and over 5,500 deployed AI models, we are dedicated to eliminating administrative complexity and reducing healthcare costs. Our team includes former employees from Google and Meta, and we operate with the entrepreneurial spirit of a start-up backed by substantial scale and resources.

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Join an award-winning company

Five-time winner of “Best in KLAS” 2020-2022, 2024-2025

Black Book Research's Top Revenue Cycle Management Outsourcing Solution 2021-2024

22 Healthcare Financial Management Association (HFMA) MAP Awards for High Performance in Revenue Cycle 2019-2024

Leader in Everest Group's RCM Operations PEAK Matrix Assessment 2024

Clarivate Healthcare Business Insights (HBI) Revenue Cycle Awards for strong performance 2020, 2022-2023

Energage Top Workplaces USA 2022-2024

Fortune Media Best Workplaces in Healthcare 2024

Monster Top Workplace for Remote Work 2024

Great Place to Work certified 2023-2024

  • Innovation

  • Work-Life Flexibility

  • Leadership

  • Purpose + Values

Bottom line, we believe in empowering people and giving them the tools and resources needed to thrive. A few of those include:

  • Associate Benefits We offer a comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs. 
  • Our Culture – Ensemble is a place where associates can do their best work and be their best selves. We put people first, last and always. Our culture is rooted in collaboration, growth, and innovation.  

  • Growth – We invest in your professional development. Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement. 

  • Recognition – We offer quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company. 

Ensemble Health Partners is an equal employment opportunity employer. It is our policy not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender, gender identity, religion, national origin, age, disability, military or veteran status, genetic information or any other basis protected by applicable federal, state, or local laws.  Ensemble Health Partners also prohibits harassment of applicants or employees based on any of these protected categories.

Ensemble Health Partners provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. If you require accommodation in the application process, please contact [email protected].

This posting addresses state specific requirements to provide pay transparency.  Compensation decisions consider many job-related factors, including but not limited to geographic location; knowledge; skills; relevant experience; education; licensure; internal equity; time in position.  A candidate entry rate of pay does not typically fall at the minimum or maximum of the role’s range.

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Top Skills

AWS
Azure
GCP
Hadoop
Python
PyTorch
Scikit-Learn
Spark
SQL
TensorFlow
Xgboost

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