Jefferson Health
Expert Software Engineer – AI Development
1100 Virginia Drive · Full-time · Posted Sep 26, 2026
- Experience
- 7 years in software development is stated; also roughly 5+ years of relevant software engineering experience, or equivalent depth, with demonstrated ownership of complex AI-enabled delivery. Preferred: 10 years.
- Education
- Bachelor’s Degree in Computer Science, Engineering, or related field, or High School Diploma/GED and 10 years preferred work experience.
About the job
Build and own AI-enabled applications throughout their lifecycle, establishing development practices and ensuring secure, reliable, compliant delivery.
What you'll do
- Design, develop, test, deploy, modernize, and support AI-enabled applications and services.
- Establish AI-assisted development standards and implement automated testing, CI/CD, deployment, and monitoring practices.
- Ensure security, privacy, compliance, and Responsible AI requirements; collaborate across teams and mentor engineers.
What they ask for
- Bachelor’s degree in Computer Science, Engineering, or related field, or High School Diploma/GED and 10 years preferred work experience.
- 7 years in software development, including distributed systems and cloud platforms.
- Production experience with AI-assisted development tools/platforms and experience establishing engineering standards.
- Experience with automated testing, CI/CD, deployment, legacy modernization, observability, and application security, privacy, and compliance.
Nice to have
- Master’s degree in Computer Science, Engineering, or related field; 10 years solving complex technical challenges and mentoring engineers.
- Experience with healthcare or regulated industries, application modernization, enterprise AI governance, agentic AI systems, or RAG architectures.
Tools
AI-assisted development tools/platforms, distributed systems, cloud platforms, automated testing, CI/CD, observability/telemetry platforms, agentic AI systems, Retrieval-Augmented Generation (RAG)
AI focus
Develop and maintain AI-enabled applications; establish AI-assisted software development practices; evaluate emerging AI technologies; preferred experience includes agentic AI and RAG.
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