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Jefferson Health

Academic health system

Expert Software Engineer - AI Development

Full-TimeUpdated on 10/23/2026
No salary listed
Senior
Bachelor's, Master's
Fort Washington, PA, USA
In Person
Software EngineeringAI Application Engineering

About the job

Requirements
  • A bachelor's degree in Computer Science, Engineering, or a related field, or a high school diploma/GED with 10 years of preferred work experience.
  • Seven years of software development experience, including experience with distributed systems and cloud platforms.
  • Strong hands-on software engineering experience, including demonstrated use of AI-assisted development tools or platforms in a production setting.
  • Experience establishing engineering standards, patterns, and best practices for a development team.
  • Experience with automated testing, continuous integration and continuous delivery (CI/CD), and deployment practices.
  • Working knowledge of application security, privacy, and compliance requirements, including Responsible AI considerations.
  • Experience refactoring and modernizing legacy applications.
  • Experience with observability and telemetry platforms for monitoring application performance and reliability.
  • A track record of owning complex application development and lifecycle management in a senior or expert capacity.
  • Roughly five or more years of relevant software engineering experience, or equivalent depth; demonstrated ownership of complex, AI-enabled application delivery is emphasized over exact tenure.
Responsibilities
  • Design, develop, enhance, and support AI-enabled applications and services.
  • Use enterprise-approved AI-assisted development tools and platforms.
  • Maintain, optimize, and modernize AI-generated applications throughout their lifecycle.
  • Establish engineering standards, patterns, and best practices for AI-assisted software development.
  • Implement automated testing, continuous integration and continuous delivery (CI/CD), and deployment practices for AI-generated solutions.
  • Ensure AI-enabled applications meet security, privacy, compliance, and Responsible AI requirements.
  • Refactor and modernize legacy applications to support the organization's modernization roadmap.
  • Monitor application performance, reliability, and operational health using observability and telemetry platforms.
  • Collaborate with Architecture, Security, Product, and Operations teams to deliver scalable and maintainable solutions.
  • Mentor engineers and promote adoption of AI-assisted development practices.
  • Evaluate emerging AI technologies and recommend innovations that advance the AI Factory strategy.
Desired Qualifications
  • A master's degree in Computer Science, Engineering, or a related field.
  • Ten years of experience, with a track record of solving complex technical challenges and mentoring engineers.
  • Experience mentoring engineers on adoption of AI-assisted development.
  • Experience with SaaS replacement or application modernization initiatives.
  • A healthcare or other regulated-industry background.
  • Familiarity with enterprise AI platforms and Responsible AI governance frameworks.
  • Experience evaluating and piloting emerging AI development technologies.
  • Experience designing or supporting agentic AI systems with multi-step, tool-using AI workflows, and Retrieval-Augmented Generation (RAG) architectures for grounding AI outputs in enterprise data.

About the company

Jefferson Health is an academic health system serving Philadelphia, South Jersey, and surrounding communities. The system delivers hospital, specialty, primary, emergency, outpatient, research, and professional education services across its care network. It serves patients, families, clinicians, students, researchers, and regional communities. Its operating model centers on clinical care integrated with university education, research, physician practices, and shared health-system operations. Teams work across nursing, physicians, allied health, research, education, technology, facilities, administration, and patient access. This structure supports consistent delivery across the organization.

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