Software Engineer II - AI Solutions

Responsibilities One of the nation’s largest and most respected providers of hospital and healthcare services, Universal Health Services, Inc. (UHS) has built an impressive record of achievement and performance. Growing steadily since its inception into an esteemed Fortune 500® corporation, annual revenues  during 2025 were $17.4 billion. In 2026, UHS was again recognized as one of Fortune World’s Most Admired Companies™ and in 2025, was listed in Forbes ranking of America’s Largest Public Companies.     Headquartered in King of Prussia, PA, UHS has approximately 101,500 employees and continues to grow through its subsidiaries. Operating acute care hospitals, behavioral health facilities, outpatient facilities and ambulatory care access points, an insurance offering, a physician network and various related services located in 40 U.S. states, Washington, D.C., Puerto Rico and the United Kingdom. For additional information visit www.uhs.com.  The Corporate Information Services Department is seeking a dynamic and talented Software Engineer II – AI Solutions. The Software Engineer II – AI Solutions will design, build, and deploy AI-driven capabilities within complex healthcare environments. In this role, you will work alongside senior engineers, clinicians, and operational teams to translate real-world problems into secure, scalable, and maintainable software. This role will help implement AI/programmatic assisted workflows, assist in cloud platform maintenance, and integrate AI models into production systems that support critical healthcare operations. This position is ideal for someone who thrives at the intersection of hands-on engineering, problem-solving in the field, and collaborating directly with end users to deliver high-impact solutions. Key responsibilities include: Works hands-on with clinicians, analysts, and operational teams to understand workflows, gather requirements, and translate ambiguous real-world problems into concrete technical solutions. Iterates quickly based on user feedback Develops and Implements AI/ML solutions for our operational and clinical customers with guidance from senior engineers. Supports compliance efforts by following HIPAA, GDPR, and healthcare standards (HL7, FHIR, DICOM). Designs and implements comprehensive test suites to assess the performance of deployed machine learning applications. Ensures the reliability, performance, and operational continuity of AI platforms. This includes monitoring system health, managing, resolving integration issues, and maintaining secure access controls. Proactively identify bottlenecks, optimize resource usage, and implement improvements that keep mission-critical healthcare workflows running smoothly with minimal downtime. Participates in code reviews and team discussions to improve development best practices. Stays updated on healthcare AI trends and emerging technologies. Develop and maintain AI/ML Solutions: Design and implement AI-driven capabilities that solve real operational problems in healthcare. This includes building inference pipelines, integrating models into production systems, developing interfaces, ensuring reliability, observability, and maintainability. Software Engineering: Develop scalable and modular software architectures that integrate ML models into healthcare systems. Work hands-on with clinicians, analysts, and operational teams to understand workflows, gather requirements, and translate ambiguous real-world problems into concrete technical solutions. Iterate quickly based on user feedback. Platform Maintenance: Ensure the reliability, performance, and operational continuity of AI platforms. This includes monitoring system health, managing, resolving integration issues, and maintaining secure access controls. You will proactively identify bottlenecks, optimize resource usage, and implement improvements that keep mission-critical healthcare workflows running smoothly with minimal downtime. Support compliance and interoperability: Follow HIPAA, GDPR, and healthcare standards (HL7, FHIR, DICOM) to ensure solutions meet regulatory and security requirements. Collaborate with compliance teams to stay updated on evolving regulations. ML Testing: Design and implement comprehensive test suites to assess the performance of deployed machine learning applications, pinpointing areas for enhancement and working closely with data scientists to optimize model accuracy. Collaborate across teams: Work closely with senior engineers, product managers, and healthcare professionals to align AI driven solutions with clinical workflows and healthcare IT needs. Participate in code reviews and knowledge sharing: Provide feedback to peers, incorporate best practices, and engage in discussions on improving solution reliability and maintainability. Troubleshoot and resolve software issues: Diagnose and resolve software errors, performance bottlenecks, and security vulnerabilities, ensuring high availability of healthcare services. Stay up to date with healthcare AI trends: Research emerging technologies, frameworks, and integration patterns to recommend improvements in AI development strategies. Qualifications Bachelor’s degree in Computer Science, Software Engineering, or a related field. 3+ years of experience in AI/ML or backend development, ideally within healthcare or regulated industries. Proficiency in programming languages such as Python, Java, or JavaScript/Typescript. Experience with machine learning tools such as Pytorch, Tensorflow, Langchain, or Keras. Hands-on experience in designing and maintaining scalable architecture is a plus. Basic understanding of healthcare standards (HL7, FHIR, DICOM) and data privacy regulations (HIPAA, GDPR). Experience with SQL & NoSQL databases for healthcare data storage and retrieval. Exposure to cloud platforms (AWS, Azure, Google Cloud, Oracle Cloud, Palantir, Databricks) Experience with the Palantir/Oracle Cloud platform is a plus, but not required Familiarity with Observability tools such as Graphana, Datadog, or Langfuse. Knowledge of microservices architecture, containerization (Docker, Kubernetes) Familiarity with Large Language Models and has used them in a production environment Experience in CI/CD pipelines, DevOps, and automated deployment strategies Strong problem-solving skills and ability to troubleshoot software and cloud platform level issues Strong communication skills to collaborate across teams. Travel Requirements: 5% This opportunity provides the following: Challenging and rewarding work environment Growth and development opportunities within UHS and its subsidiaries Competitive Compensation Excellent Medical, Dental, Vision and Prescription Drug Plan 401k plan with company match Generous Paid Time Off *UHS is a registered trademark of UHS of Delaware, Inc., the management company for Universal Health Services, Inc. and a wholly-owned subsidiary of Universal Health Services, Inc. Universal Health Services, Inc. is a holding company and operates through its subsidiaries including its management company, UHS of Delaware, Inc. All healthcare and management operations are conducted by subsidiaries of Universal Health Services, Inc. To the extent any reference to "UHS or UHS facilities" on this website including any statements, articles or other publications contained herein relates to our healthcare or management operations it is referring to Universal Health Services' subsidiaries including UHS of Delaware. Further, the terms "we," "us," "our" or "the company" in such context similarly refer to the operations of Universal Health Services' subsidiaries including UHS of Delaware. Any employment referenced in this website is not with Universal Health Services, Inc. but solely with one of its subsidiaries including but not limited to UHS of Delaware, Inc. UHS is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at UHS via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of UHS. No fee will be paid in the event the candidate is hired by UHS as a result of the referral or through other means. EEO Statement All UHS subsidiaries are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates. UHS subsidiaries are equal opportunity employers and as such, openly support and fully commit to recruitment, selection, placement, promotion and compensation of individuals without regard to race, color, religion, age, sex (including pregnancy, gender identity, and sexual orientation), genetic information,national origin, disability status, protected veteran status or any other characteristic protected by federal, state or local laws. We believe that diversity and inclusion among our teammates is critical to our success. Notice At UHS and all our subsidiaries, our Human Resources departments and recruiters are here to help prospective candidates by matching skillset and experience with the best possible career path at UHS and our subsidiaries.  We take pride in creating a highly efficient and best in class candidate experience. During the recruitment process, no recruiter or employee will request financial or personal information (Social Security Number, credit card or bank information, etc.) from you via email. The recruiters will not email you from a public webmail client like Hotmail, Gmail, Yahoo Mail, etc. If you are suspicious of a job posting or job-related email mentioning UHS or its subsidiaries, let us know by contacting us at: https://uhs.alertline.com or 1-800-852-3449.