Skip to main content
← Back to search
V

AI Enabled Automation Architect

VAILEXA

Indianapolis, Indiana, United StatesOn-siteExpert

Applying takes a free account: you'll come right back to this job to finish with your profile.

Need a reasonable accommodation to apply or interview? Contact us.

JobMinglr uses automated technology to recommend jobs based on profile information and job preferences. Match Score does not determine eligibility for a position, prevent a user from viewing or applying to a job, or make hiring decisions on behalf of an employer.

Description

Build More Than Just a Career. Build Your Future.

At Vailexa, we’re not just hiring — we’re building thinkers, creators, and future leaders.

We believe in giving people the space to grow, the freedom to think, and the opportunity to create real impact from day one. If you’re someone who wants to learn fast, take ownership, and grow beyond limits, you’ll feel right at home here.

Position Overview:
Client is 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. Required Qualifications
  1. Experience with tech transfer, manufacturing automation, recipe design, control strategies, and batch execution workflows; specifically batch process experience, not continuous process control.
  2. Minimum 6 years of hands-on, batch-specific DeltaV configuration experience (not continuous), plus working knowledge of MES, data integration, and digital manufacturing architectures.
  3. Pharmaceutical or life sciences manufacturing experience; Small Molecule experience specifically preferred, with biologics, advanced therapies, or multi-modality experience considered a plus.
  4. Capability in data modeling, information architecture, knowledge representation, or related digital-knowledge disciplines.
  5. Experience bridging process knowledge and digital execution systems without over-reliance on custom application development.
  6. Experience designing modular, reusable technical frameworks rather than one-off implementations.
  7. Hands-on experience with AI or machine learning tools in an regulated technical environment, with the aptitude and willingness to grow into more advanced AI-driven workflows (e.g. agentic architectures).
  8. Ability to work iteratively using real process examples, user feedback, and rapid learning cycles.
  9. Strong cross-functional engagement skills with automation, process engineering, operations, PT&E, quality, and related stakeholder groups.
Preferred Capabilities
  • AI-enabled analysis, decision support, or knowledge-system experience in regulated technical environments; particularly agentic architecture and coding experience (e.g. Claude Code, Codex).
  • Change-management, training, and governance experience to help operationalize adoption across functions.
  • Familiarity with data integrity principles (ALCOA+) and data governance frameworks.
  • Experience with Kneat, ValGenesis, or similar electronic validation management systems.

Ready to take the next step?

If you’re excited about this role and ready to grow with a team that values ambition, ideas, and impact — we’d love to hear from you.

👉 Apply now and start building your journey with Vailexa.

Pay for this role

The employer didn't post a pay range for this role. That usually means pay is set in negotiation, which favors whoever arrives with numbers. Check ranges on comparable AI Enabled Automation Architect postings in Indianapolis, and analyze any offer before you accept it.

How JobMinglr reads this job

Every listing here is scored against your profile before you apply: skills overlap, experience level, location and work arrangement, each weighted and explained. You see the score and the reasons, not just a list. How the matching works.