United States onlyThe Robotics and Automation unit within the Clinical Enterprise Technology & Automation domain is seeking an Automation Software Engineer to design, develop, and implement complex automations, virtual agents, and chatbots utilizing AI and Generative AI technologies to create intelligent automation solutions that advance enterprise-wide digital transformation initiatives for Mayo Clinic.
This role focuses on engineering scalable, secure, and adaptive automation systems that extend beyond traditional robotic process automation into agent-based and AI-enabled orchestration models. The Automation Software Engineer will design solutions that coordinate bots, APIs, AI services, data platforms, and human workflows into cohesive enterprise processes.
Primarily leveraging the UiPath platform (including advanced orchestration capabilities), the Automation Software Engineer will deliver automation solutions that are resilient, compliant, observable, and aligned with enterprise architectural standards. Knowledge of Microsoft Power Automate, Microsoft Copilot Studio, ChatGPT, Google Gemini, and related technologies is desirable.
Key responsibilities include:
- Designing and implementing complex automation workflows that integrate enterprise systems, AI services, and human-in-the-loop processes
- Engineering agent-driven and AI-augmented automation capabilities to support decision-intensive business processes
- Applying orchestration patterns to manage long-running, multi-system workflows
- Developing reusable automation components, integration services, and shared frameworks
- Embedding governance, auditability, logging, and telemetry into automation solutions
- Ensuring solutions meet healthcare security, privacy, and regulatory compliance standards
- Participating in architecture reviews and contributing to automation platform standards
- Supporting CI/CD practices and lifecycle management for automation deployments
- Continuously evaluating emerging AI and automation technologies to strengthen enterprise capabilities
The ideal candidate demonstrates strong engineering fundamentals, architectural thinking, and the ability to build intelligent automation systems that operate reliably in complex, regulated environments.
