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
The Opportunity:
I. Job Summary
The Lead Engineer, AI is responsible for building AI and Machine learning models and pipelines, with a focus on generative AI, LLMs and predictive modelling. The successful candidate will work closely with data scientists and product leads to implement AI models, build required data and code pipelines through rigorous engineering disciplines
You should have expertise in the design, development, management, and maintenance of systems and handling of large datasets. You should have hands on experience with common machine learning and AI frameworks, and a good knowledge of AI and machine learning fundamentals (deep learning, regression, classification and clustering algorithms), retrieval augmented generation pipelines, as well as a good grasp of the design and evaluation of LLM-supported use cases.
II. Essential Job Functions
- Design, build and develop AI algorithms and systems for complex, clinical applications
- Evaluate and deploy models critical to solving complex problems with diverse, multimodal data sets
- Leverage the latest techniques including deep learning, neural networks, and other ML algorithms to derive business insights and fuel informed decision-making
- Automate processes by utilizing machine learning; build necessary infrastructure used by the entire AI team of engineers, scientists and other collaborators
- Coordinate between Data Scientists and Product Analysts and the broader organization to facilitate seamless collaboration
Other Preferred Knowledge, Skills and Abilities
- 5+ years of practical experience as an engineer with focus on implementation of AI / ML machine learning solutions.
- Bachelors or Masters in Computer Science / Machine Learning / AI, or related work experience with the design, building and evaluation of Machine Learning systems.
- 3+ years’ experience with Machine Learning ecosystem tools, including pytorch/tensorflow, scikit-learn, xgboost or equivalents.
- Understanding of MLOps fundamentals, including orchestration tools, cloud compute, and observability tools.
- Good understanding of cloud platforms e.g. Azure / GCP / AWS and their AI tool set
- Practical experience working with data and code pipelines
- Ability to implement, test and deploy Machine Learning models.
- Familiarity with langchain / llamaindex / haystack / Azure AI studio, vector databases and retrieval techniques, or equivalent common tools in the emerging LLM-enabled tech stack is a plus.
- Proficiency in accessing and handling databases via SQL, Azure Data Factory or similar.
- Alternatively, familiarity with data storage/management systems or Big Data frameworks (like Hadoop, Spark) expected to be known or used.
- Proficiency in Software Development best practices such as Continuous Integration, Unit/Integration Testing, Code Reviews.
- Ability to work both independently and in a team-based, fast-paced environment.
- Excellent communication skills, both written and verbal.
Other Preferred Knowledge, Skills and Abilities
- 5+ years of practical experience as an engineer with focus on implementation of AI / ML machine learning solutions.
- Bachelors or Masters in Computer Science / Machine Learning / AI, or related work experience with the design, building and evaluation of Machine Learning systems.
- 3+ years’ experience with Machine Learning ecosystem tools, including pytorch/tensorflow, scikit-learn, xgboost or equivalents.
- Understanding of MLOps fundamentals, including orchestration tools, cloud compute, and observability tools.
- Good understanding of cloud platforms e.g. Azure / GCP / AWS and their AI tool set
- Practical experience working with data and code pipelines
- Ability to implement, test and deploy Machine Learning models.
- Familiarity with langchain / llamaindex / haystack / Azure AI studio, vector databases and retrieval techniques, or equivalent common tools in the emerging LLM-enabled tech stack is a plus.
- Proficiency in accessing and handling databases via SQL, Azure Data Factory or similar.
- Alternatively, familiarity with data storage/management systems or Big Data frameworks (like Hadoop, Spark) expected to be known or used.
- Proficiency in Software Development best practices such as Continuous Integration, Unit/Integration Testing, Code Reviews.
- Ability to work both independently and in a team-based, fast-paced environment.
- Excellent communication skills, both written and verbal.
- Knowledge of Revenue Cycle Management, Collections, or financial industries is desirable but not necessary.
Job Experience
7 to 10 Years
Education Level
Post Graduate Degree or Equivalent Experience
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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
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Innovation
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Work-Life Flexibility
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Leadership
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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.
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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.
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Growth – We invest in your professional development. Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement.
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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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