AI Enabled Automation Architect

Kanak Elite Services

Indianapolis (IN)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Job summary

Kanak Elite Services is looking for an AI Enabled Automation Architect based in Indianapolis, Indiana. This role supports advanced pharmaceutical manufacturing by developing reusable libraries and collaborating with various engineering teams.

The ideal candidate should have experience in regulated environments and a strong understanding of manufacturing execution systems. Responsibilities include designing knowledge structures and validating automation solutions with real manufacturing use cases.

Qualifications

  • Experience in regulated technical environments with AI enabled systems.
  • Ability to bridge process knowledge with digital execution systems.
  • Experience with technology transfer and manufacturing automation.

Responsibilities

  • Develop and mature a reusable phase library for manufacturing automation.
  • Support multi-format master batch record ingestion.
  • Collaborate closely with site automation and engineering teams.

Skills

AI enabled analysis
Data modeling
Cross-functional engagement
Hands-on understanding of MES
Strong capability in information architecture

Tools

Manufacturing Execution Systems
DeltaV
Digital manufacturing architectures

Job description

Role Overview

We are seeking an AI Enabled Automation Architect dedicated to Site Automation Engineering to support advanced pharmaceutical manufacturing initiatives. This role focuses on the continued development, maturation, and application of reusable phase libraries, equipment module abstractions, and digital knowledge structures that enable scalable and repeatable manufacturing automation. The role operates within a GxP and GMP regulated environment and works closely with site automation, process engineering, and execution teams to validate solutions using real batch records and real manufacturing use cases.

Responsibilities
  • Further develop and mature a reusable phase library and associated equipment module abstractions
  • Define and refine taxonomies, schemas, naming conventions, governance rules, and knowledge structures that support reuse
  • Support multi‑format master batch record ingestion and generation of structured phase analysis outputs
  • Design and apply capability gate screening logic to evaluate batch records against defined capability criteria
  • Align reusable libraries with physical equipment and rig capability across manufacturing contexts
  • Evaluate and support MES and control system connected workflows, including DeltaV and MES recipe design flows
  • Support iterative build‑test‑refine delivery using real batch records and real use cases as validation inputs
  • Provide planning and/or implementation support for recipe design generation, rig fit incorporation, and equipment capability mapping
  • Collaborate closely with Site Automation Engineering, Process Engineering, Process Translation and Execution teams, IT, Quality, and site leadership
Qualifications
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
Preferred 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
Tools and Technologies
  • Manufacturing Execution Systems
  • DeltaV and related control systems
  • Digital manufacturing architectures
  • Data modeling and knowledge management frameworks
  • Batch record analysis and recipe design tools
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