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Shimento, Inc.

AI Automation & Process Optimization Consultant Pharma Manufacturing

Career Insights for Manufacturing Automation Engineer

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What they do

A Manufacturing Automation Engineer designs, programs and improves automated machinery and processes within a manufacturing environment. Are responsible for the design specifications, documentation and troubleshooting of the equipment. Often work within vehicle manufacturing and food processing plants, where robots or machines are used to perform specific functions.

$129,288 / year median in California

+14% projected growth

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Job Description

AI Automation & Process Optimization Consultant
  • Pharma Manufacturing Location
  • Vacaville, CA (Hybrid) Duration
  • 12 Months+
Role Overview:
The successful candidate will focus on building scalable AI process-automation frameworks that improve compliance, reduce manual effort, and accelerate digital transformation across regulated environments. You will play a key role in bridging business requirements with intelligent automation solutions that drive measurable operational improvements.
Key Responsibilities:
Leverage AI and automation to streamline requirements gathering and documentation processes. Design and implement intelligent workflows that enhance manufacturing efficiency. Modernize end-to-end pharma operations through scalable automation frameworks. Ensure compliance with regulatory standards while reducing manual effort. Accelerate digital transformation initiatives across regulated manufacturing environments. Collaborate with cross-functional teams to translate business needs into automated solutions.
Core Competencies:
AI & Automation:
Hands-on experience with AI tools, intelligent workflows, and process automation.
Pharma Manufacturing:
Deep understanding of manufacturing operations, compliance, and regulatory requirements.
Requirements Collection:
Proven ability to gather, document, and translate business requirements into technical solutions.
Process Optimization:
Track record of improving efficiency, reducing manual effort, and driving digital transformation.
Regulated Environments:
Experience working within highly controlled, compliance-driven settings.
Preferred Qualifications:
Experience with AI process-automation frameworks. Familiarity with pharmaceutical manufacturing systems and compliance standards. Strong analytical, communication, and stakeholder management skills.