Data Integrity Jobs in Rochester, NY (NOW HIRING)

Job Summary:
Bausch + Lomb is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people. The AI Engineer will build the infrastructure for data and AI capabilities in manufacturing, focusing on creating automated data pipelines and AI-powered tools to improve decision-making and operational efficiency.
Responsibilities:
• Assess current plant data infrastructure — identify where data is missing, poorly structured, or trapped in manual processes.
• Design and build automated pipelines that replace manual CSV exports with sustainable, auditable data flows.
• Integrate data from ERP, MES, QMS, and shop floor systems into unified reporting environments.
• Ensure all pipelines and collection methods meet GxP and ISO documentation and validation requirements.
• Build dashboards and reports that translate manufacturing data into actionable insights for operators, supervisors, and leadership.
• Develop Power Apps and Power Automate workflows that reduce manual effort for quality, maintenance, and operations teams.
• Apply manufacturing knowledge — OEE, yield, cycle time, process variation — to ensure analytics are practically useful.
• Build AI-powered agents and workflows using Microsoft Copilot Studio or Claude, starting with shift handover, production reporting, and maintenance tracking.
• Integrate Azure AI services (Azure OpenAI, AI Search, Document Intelligence) to create intelligent tools that reason, retrieve, and respond.
• Ensure all AI solutions are validated, documented, and auditable in a GxP/ISO environment.
• Work directly with plant supervisors, maintenance leads, quality engineers, and operations personnel to gather requirements and validate solutions.
• Champion data-driven decision-making by building trust in data quality through consistent, reliable delivery.
• Collaborate with IT Infrastructure Operations on hosting, access controls, data architecture, and compliance.
• Lead projects for implementing or improving QMS, analytics, and automation software from requirements through sustainment.
Qualifications:
Required:
• Bachelor’s degree in Engineering, Computer Science, Information Systems, Industrial Engineering, or related field required.
• 3+ years of hands-on relevant experience strongly preferred; experience with manufacturing data systems, including ERP, MES, or QMS platforms.
• Demonstrated history of delivering working solutions - dashboards, automations, integrations, or AI tools actively used in production.
• Manufacturing fluency — genuine understanding of manufacturing processes, quality systems, and operational workflows; able to translate floor requirements into technical solutions.
• Power BI, Power Apps & Power Automate — experienced building workflow automation and plant-facing applications.
• Data pipeline & integration — design data collection structures, build integrations, and replace manual processes with reliable automated flows.
• Agentic AI — hands-on experience building AI agents or Copilot solutions; not just using LLMs but building with them.
• Systems integration — connecting ERP, MES, QMS, and shop floor systems into unified reporting environments.
• Regulated environment — comfortable within GxP and/or ISO frameworks where solutions must be validated and documented.
• Project ownership — able to manage projects independently, set priorities, and deliver without waiting for complete direction.
• Communication — equally credible with a maintenance technician on the floor and with plant leadership.
Preferred:
• SQL — writing and modifying queries for extraction, transformation, and validation.
• Azure AI services — Azure OpenAI, AI Search, Document Intelligence, or Data Factory.
• Python — basic scripting for data manipulation, pipeline automation, or API integration.
• Lean / Six Sigma — Green Belt or Black Belt.
• Shop floor data systems — historian platforms, SCADA, or similar real-time sources.
• Life sciences / pharmaceutical manufacturing — familiarity with FDA-regulated environments and data integrity requirements.
Company:
We're a leading global eye health organization that is dedicated to protecting and enhancing the gift of sight for millions of people around the world – from the moment of birth through every phase of life. Founded in 1853, the company is headquartered in Rochester, USA, with a team of 10001+ employees. The company is currently Late Stage.