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

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.

It 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.

• Work hands-on with clinicians, analysts, and operational teams to understand workflows, gather requirements, and translate ambiguous real‑world problems into concrete technical solutions, iterating quickly based on user feedback.
• Develop and implement AI/ML solutions for operational and clinical customers, guided by senior engineers.
• Support compliance efforts by following HIPAA, GDPR, and healthcare standards (HL7, FHIR, DICOM).
• Design and implement comprehensive test suites to assess the performance of deployed machine learning applications.
• Ensure reliability, performance, and operational continuity of AI platforms, including monitoring system health, managing and resolving integration issues, maintaining secure access controls, proactively identifying bottlenecks, optimizing resource usage, and implementing improvements to keep mission‑critical workflows running smoothly with minimal downtime.
• Participate in code reviews and team discussions to improve development best practices.
• Stay updated on healthcare AI trends and emerging technologies.
• Design and implement AI‑driven capabilities that solve operational problems, building inference pipelines, integrating models, developing interfaces, ensuring reliability, observability, and maintainability.
• Develop scalable, modular software architectures that integrate ML models into healthcare systems.
• Collaborate closely with senior engineers, product managers, and healthcare professionals to align AI solutions with clinical workflows and IT needs.
• Troubleshoot and resolve software errors, performance bottlenecks, and security vulnerabilities to ensure high availability.
• Recommend improvements in AI development strategies based on research of emerging technologies, frameworks, and integration patterns.

• 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/Type Script.
• Experience with machine learning tools such as PyTorch, Tensorflow, Lang Chain, or Keras.
• Hands‑on experience designing and maintaining scalable architectures.
• Basic understanding of healthcare standards (HL7, FHIR, DICOM) and data privacy regulations (HIPAA, GDPR).
• Experience with SQL and No
  
  SQL databases for healthcare data storage and retrieval.
• Exposure…