RPA Developer

Overview

Remote
Up to $60
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

RPA
Healthcare
Automationanywhere

Job Details

  • Role: RPA / Machine Learning Developer
  • Location: Remote, but candidates must work on AZ/PST hours
  • Must have Healthcare Insurance Industry Experience
  • Must have LinkedIn
  • Subcontracting is not allowed.

We are seeking a skilled RPA/AI Engineer to join the Medicaid Technology team. The role will focus on building and supporting automation solutions using Automation Anywhere A360, while also contributing to AI-driven initiatives.

The ideal candidate will have hands-on development experience, strong problem-solving skills, and the ability to collaborate with business and technology stakeholders to deliver scalable automation.


Required Skills & Experience:

  • 5+ years of IT experience, with at least 2+ years in RPA development.
  • Hands-on expertise with Automation Anywhere A360 (development, deployment, troubleshooting).
  • Familiarity with AI/ML concepts, tools, or frameworks.
  • Strong knowledge of APIs, integrations, and workflow automation.
  • Proficiency in one or more programming/scripting languages (e.g., Python, Java, .NET, VBScript).
  • Experience with SDLC, Agile methodology, and DevOps practices.
  • Strong problem-solving and communication skills.

Nice-to-Have:

  • Prior healthcare or Medicaid domain experience.
  • Experience with other RPA tools (UiPath, Blue Prism).
  • Exposure to cloud platforms (Azure, Google Cloud Platform, AWS).
  • Background in data analytics or AI/ML production deployments.

Key Responsibilities:

  • Design, develop, and deploy RPA solutions using Automation Anywhere A360.
  • Work closely with business analysts and stakeholders to identify automation opportunities and define requirements.
  • Integrate RPA solutions with existing applications, databases, and APIs.
  • Support ongoing RPA processes, troubleshoot issues, and implement enhancements.
  • Collaborate on AI/ML initiatives, contributing to proof-of-concepts and production-level use cases.
  • Ensure solutions meet security, compliance, and scalability standards.
  • Document processes, technical specifications, and best practices.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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