Vailexa

Global recruitment and workforce solutions provider

AI Enabled Automation Architect

Controls & Automation EngineeringConfirmed live in the last 24 hours

Full-timeIndianapolis, IN, USANo salary listedIn-person

About the Job

Requirements

Experience with tech transfer, manufacturing automation, recipe design, control strategies, and batch execution workflows, specifically batch process experience rather than continuous process control.
At least six years of hands-on, batch-specific DeltaV configuration experience, plus working knowledge of manufacturing execution systems, data integration, and digital manufacturing architectures.
Pharmaceutical or life sciences manufacturing experience.
Capability in data modeling, information architecture, knowledge representation, or related digital-knowledge disciplines.
Experience bridging process knowledge and digital execution systems without over-reliance on custom application development.
Experience designing modular, reusable technical frameworks rather than one-off implementations.
Hands-on experience with artificial intelligence or machine learning tools in a regulated technical environment, and aptitude and willingness to grow into advanced AI-driven workflows such as agentic architectures.
Ability to work iteratively using real process examples, user feedback, and rapid learning cycles.
Cross-functional engagement with automation, process engineering, operations, PT&E, quality, and related stakeholder groups.

Responsibilities

Support advanced pharmaceutical manufacturing initiatives focused 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.
Work within a GxP and GMP regulated environment with site automation, process engineering, and execution teams to validate solutions using real batch records and real manufacturing use cases.

Desired Qualifications

Small Molecule manufacturing experience; biologics, advanced therapies, or multi-modality experience are also considered a plus.
AI-enabled analysis, decision support, or knowledge-system experience in regulated technical environments, particularly agentic architecture and coding experience such as Claude Code or Codex.
Change-management, training, and governance experience to help operationalize adoption across functions.
Familiarity with ALCOA+ data integrity principles and data governance frameworks.
Experience with Kneat, ValGenesis, or similar electronic validation management systems.

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 anAI 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

Experience with tech transfer, manufacturing automation, recipe design, control strategies, and batch execution workflows; specifically batch process experience, not continuous process control.
Minimum 6 years of hands-on, batch-specific DeltaV configuration experience (not continuous), plus working knowledge of MES, data integration, and digital manufacturing architectures.
Pharmaceutical or life sciences manufacturing experience; Small Molecule experience specifically preferred, with biologics, advanced therapies, or multi-modality experience considered a plus.
Capability in data modeling, information architecture, knowledge representation, or related digital-knowledge disciplines.
Experience bridging process knowledge and digital execution systems without over-reliance on custom application development.
Experience designing modular, reusable technical frameworks rather than one-off implementations.
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).
Ability to work iteratively using real process examples, user feedback, and rapid learning cycles.
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.

About the Company

Vailexa

Global recruitment and workforce solutions provider

Vailexa provides global staffing and workforce solutions across multiple industries, offering contract, contract-to-hire, and permanent placements, along with IT staffing, healthcare staffing, executive search, and RPO. It acts as an extension of a client’s team by managing the full recruitment lifecycle from sourcing to onboarding, while using data-science analytics to aid workforce planning and identify future talent gaps. The company blends human expertise with automation and relies on a network of over 25,000 pre-vetted professionals across the USA, Canada, and India to support onsite, remote, or hybrid work. Its approach combines analytics-driven planning with end-to-end recruiting and a large global talent pool to provide a seamless staffing solution and help organizations align talent with future business needs.

Company size: 11-50
Company stage: Not listed
Total funding: Not listed
Headquarters: Plano, TX
Founded: 2020

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