AI & Automation Engineer II - RPA, Python, Power Apps

Value Apothecaries

United States

On-site

USD 120,000 - 160,000

Full time

3 days ago
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Job summary

Cencora is seeking an AI & Automation Operational Engineer to design, develop, deploy, and support enterprise automation solutions. You will work hands-on with Automation Anywhere, Python, and Power Apps, driving AI-enabled automation and integration across systems.

You will mentor developers, lead code reviews, and push modernization efforts while ensuring secure, scalable production deployments and strong testing practices.

Qualifications

  • 6-8 years of experience in automation development, software engineering, or intelligent automation delivery.
  • Hands-on experience with Automation Anywhere (required), Python, and Power Apps.
  • Experience with AI-enabled automation, APIs, workflow technologies, and enterprise integration.

Responsibilities

  • Design, develop, test, deploy, support, and optimize automation solutions using Automation Anywhere, Python, Power Apps, and related technologies.
  • Deliver scalable, secure, resilient solutions aligned with enterprise standards and guardrails.
  • Contribute across the full automation lifecycle: design, build, test, deploy, hyper-care, and production support.
  • Troubleshoot complex issues, perform root cause analysis, and implement sustainable fixes.
  • Provide technical guidance, mentoring, and standards to developers; promote quality and engineering consistency.

Skills

RPA
AI-enabled automation
Mentoring/leadership

Education

Bachelor's degree in Computer Science / Information Technology / Engineering or related field

Tools

Automation Anywhere
Python
Power Apps

Job description

Cencora is seeking an AI & Automation Operational Engineer to design, develop, deploy, and support enterprise automation solutions. You will work hands-on with Automation Anywhere, Python, and Power Apps, driving AI-enabled automation and integration across systems.

You will mentor developers, lead code reviews, and push modernization efforts while ensuring secure, scalable production deployments and strong testing practices.

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