AI-Driven Pharma Automation Architect

Energy Jobline ZR

Alameda (CA)

Hybrid

USD 152,000 - 220,000

Full time

14 days+

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Job summary

Energy Jobline ZR is seeking an AI Automation Architect for the San Francisco Bay Area contract role in digital manufacturing. The expert will design end-to-end AI-powered automation across MES, LIMS, ERP, and related systems, aligning with GxP and 21 CFR Part 11 requirements.

The role emphasizes requirements gathering, intelligent workflow design, and process optimization in regulated pharma environments. Hybrid/onsite work and hands-on delivery are required to modernize manufacturing

Qualifications

Experience with digital manufacturing platforms (MES, LIMS, eBR, EBR automation).
Familiarity with cloud based AI/automation services (Azure, AWS, GCP).
Background in intelligent document processing, predictive analytics, or workflow orchestration.
Prior experience driving digital transformation in regulated environments.

Responsibilities

Lead structured requirement collection sessions with manufacturing, QA, QC, supply chain, and IT teams.
Map current state workflows, identify bottlenecks, and document functional/technical requirements.
Translate business needs into AI driven automation specifications and workflow logic.
Architect and deploy AI enabled workflows that reduce manual effort and improve operational efficiency.
Build automation frameworks leveraging ML models, rule based engines, and intelligent orchestration tools.
Integrate automation solutions with MES, LIMS, ERP, and other manufacturing systems.
Identify automation opportunities across batch execution, deviation management, equipment readiness, data capture, and compliance workflows.
Drive modernization of end to end manufacturing processes using AI, analytics, and digital tools.
Partner with cross functional teams to accelerate digital transformation initiatives.
Ensure all automation solutions meet GxP, 21 CFR Part 11, validation, and data integrity requirements.
Collaborate with QA/Validation teams to define testing, documentation, and change control processes.
Implement explainable AI and traceable decision logic within automated workflows.
Work closely with manufacturing, quality, IT, data engineering, and automation teams.
Communicate technical concepts clearly to non technical stakeholders.
Provide ongoing support for deployment, troubleshooting, and continuous improvement.