AI Enabled Automation Architect
On-siteIndianapolis, Indiana, United States
Job Summary
Develop reusable phase libraries and equipment module abstractions to enable scalable manufacturing automation within GxP and GMP-regulated environments. Define taxonomies, schemas, and governance rules that support reuse while ingesting multi-format master batch records to generate structured phase analysis outputs. Design capability gate screening logic to evaluate batch records against defined criteria and align reusable libraries with physical equipment and rig capabilities. Support iterative build, test, and refine delivery using real batch records and manufacturing use cases as validation inputs. Collaborate with Site Automation, Process Engineering, Quality, and IT teams to design and apply MES and control system connected workflows, including DeltaV and recipe design flows.
Required Qualifications
- AI-enabled analysis, decision support, or knowledge system experience in regulated technical environments
- Experience bridging process knowledge and digital execution systems without heavy reliance on custom application development
- Experience with technology transfer, manufacturing automation, recipe design, control strategies, or batch execution workflows
- Hands-on understanding of MES, DeltaV, or related automation platforms and digital manufacturing architectures
- Strong capability in data modeling, information architecture, or digital knowledge representation
- Experience designing modular and reusable technical frameworks
- Ability to work iteratively using real process examples, user feedback, and rapid learning cycles
- Strong cross-functional engagement skills across automation, process engineering, operations, quality, and execution teams
- Pharmaceutical or life sciences manufacturing experience, preferably in biologics, advanced therapies, or greenfield facilities
Desired Qualifications
- Small molecule experience preferred and multi-modality experience beneficial
- Change management, training, and governance experience supporting operational adoption
- Familiarity with data integrity principles, including ALCOA plus
- Experience with electronic validation management systems such as Kneat or ValGenesis
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