Artificial Intelligence Software Engineer

Gundersen Health System•Winnipeg, MN

3d•$71,700•Hybrid

About The Position

Emplify Health is hiring for 2 innovative Artificial Intelligence Software Engineers to join our APEX team. In APEX, we are committed to a culture of service built on the foundational values of respect, transparency, and trust. APEX is co-led by Edge Innovation and ITDS Enterprise Analytics & AI. Serving our colleagues and end-users well means adhering to these principles: In every interaction, display active listening and communicate in a clear, respectful, and timely manner across a variety of channels (in-person, phone, email, live chat, etc.). Maintain an empathetic, calm, and professional attitude toward colleagues and end users. Collaborate within and across teams and departments to move work forward quickly.

Requirements

Bachelor's degree or equivalent years of experience and education
2+ years of software development experience and proficiency in a variety of programing languages and integration platforms.
Experience with Microsoft Azure or other cloud platforms.
Exposure to AI-assisted software development tools and practices.
Experience creating prototypes, proof-of-concepts, or innovative technology solutions.
Familiarity with DevOps, CI/CD pipelines, testing frameworks, and modern software engineering practices.
Strong problem-solving, communication, and analytical skills.

Responsibilities

Build working software from concept to production, often using AI-assisted ("vibe coding") development tools.
Develop rapid prototypes in the team's sandbox and iterate quickly on feedback from users.
Help move proven prototypes out of the sandbox and into enterprise-grade products that operate at scale.
Design, develop, test, and maintain applications in cloud environments such as Microsoft Azure.
Work directly with business and clinical users to understand a problem and confirm the solution solves it.
Collaborate across the co-led APEX team and with enterprise architecture, data, and security partners.
Apply sound engineering practices for code quality, testing, and documentation, scaled to the governance tier of each product.
Contribute to enterprise architecture, data pipelines, and cloud infrastructure as the work requires.
Help define how the team works, including its tools, standards, and ways of working.
Keep current with emerging AI and development tools and bring promising approaches back to the team.
Follow data governance, privacy, and security requirements, including the handling of protected health information.
Adheres to regular and predictable attendance.
Performs other job-related responsibilities as requested or assigned.