AI Driven Automation Solutions Architect (Pharma)

Greenville, NC - USA

Monthly Salary: Not Disclosed

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

Job Description

We are seeking an Engineer to provide on-site engineering and application support for pharmaceutical manufacturing operations in New Albany Ohio. This role supports Line Clearance and other DISO applications while also contributing to the operation and support of production-grade AWS-based machine learning platforms used in regulated manufacturing environments.
This is a newly created role intended to strengthen on-site support improve response times and ensure reliable compliant operation of critical manufacturing and digital systems.

Key Responsibilities
Provide on-site engineering and application support for Line Clearance systems and other DISO applications
Support day-to-day operations troubleshooting and incident resolution for production and quality-critical systems
Collaborate with manufacturing quality IT and digital teams to ensure system availability performance and compliance with GMP requirements
Support AWS-based ML platforms used in manufacturing and quality use cases including monitoring operational support and controlled deployments
Assist with system configuration testing validation and documentation activities in accordance with site and regulatory standards
Participate in change management activities including impact assessments implementation support and post-change verification
Support investigations and root cause analysis related to application or data issues
Coordinate with global engineering IT and data platform teams as needed
Maintain clear documentation and communication aligned with site procedures and operational best practices

Additional Information

Bachelors degree in Engineering Computer Science Information Systems or a related technical discipline
Experience supporting manufacturing or quality systems in regulated environments (pharmaceutical biotech or life sciences)
Experience with Line Clearance processes and Machine Learning applications
Strong troubleshooting analytical and problem-solving skills
Ability to work effectively in an on-site cross-functional environment
Strong written and verbal communication skills
Experience supporting production-grade AWS-based machine learning platforms including:
AWS SageMaker Pipelines for ML workflow orchestration
Model versioning and governance using Amazon SageMaker Model Registry or equivalent tools
Deployment and operation of ML solutions across multi-account AWS environments (development validation and production)
Understanding of MLOps best practices including model lifecycle management CI/CD for ML monitoring and controlled promotion across environments
Familiarity with AWS Well-Architected Framework principles particularly security reliability and operational excellence as applied to ML platforms

Preferred Qualifications
Experience working in GMP-regulated manufacturing environments
Exposure to system validation change control and regulated documentation practices
Experience supporting cloud-based data or analytics platforms in life sciences
Knowledge of pharmaceutical manufacturing workflows and quality systems
Prior experience supporting Amgen systems or similar enterprise manufacturing environments

Required Experience:

Staff IC

Job Description We are seeking an Engineer to provide on-site engineering and application support for pharmaceutical manufacturing operations in New Albany Ohio. This role supports Line Clearance and other DISO applications while also contributing to the operation and support of production-grade AWS...