Artificial Intelligence Software Engineer

Gundersen Health System•Winnipeg, MN

1d•$71,700•Hybrid

About The Position

We are seeking an innovative Artificial Intelligence Software Engineer to join our Enterprise Analytics team and help bring AI-driven solutions from concept to reality. Our Enterprise Analytics team is committed to improving health and wellbeing by transforming data into actionable insights and empowering those we serve to meet their information and decision-making needs. In this role, you'll build software that solves real business challenges across the organization, rapidly developing and testing new ideas, often leveraging AI technologies, and scaling the most impactful solutions into enterprise-wide products. You'll work closely with end users, collaborate across teams, and help shape a fast-moving, innovation-focused environment.

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 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.