About The Position

The 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.

Requirements

  • Bachelor's Degree in Computer Science/Engineering or related field; Or an Associates’ degree in Computer Science/Engineering or related field with an additional 2 years of experience as described below.
  • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Have working knowledge and experience of Software Engineering with a minimum of 2yrs of experience coding applications or services in a high-level language (C, C++, Python, Golang, Java, C#, VB.net etc.).
  • Have first-hand experience creating and releasing production software in a large enterprise level environment.
  • Demonstrated problem solving and time management skills.
  • Possesses strong technical aptitude for designing and implementing software solutions.
  • Experience with modern application development frameworks
  • Deep hands-on technical expertise, excellent verbal and written communication skills.
  • Experience with Agile software development techniques.

Nice To Haves

  • Experience developing automations in the UiPath platform for organizations larger than 50,000+ employees
  • Experience with additional automation technologies such as Microsoft Power Automate, Microsoft Copilot Studio, ChatGPT, Google Gemini or other Large-Language Models
  • Web app development experience (HTML, CSS, JavaScript, React/Vue)
  • Experience with building high-performance, highly available and scalable distributed systems.
  • Experience developing software for healthcare related industries.

Responsibilities

  • 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
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service