AI Enabled Automation Architect
VAILEXA
Salary undisclosed
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Description
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.
- 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.
- 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 this role
Vailexa is looking for someone to architect automation solutions for pharmaceutical manufacturing at scale. You'd be designing reusable libraries, equipment abstractions, and digital frameworks that enable batch process automation in a GxP/GMP environment—working with real manufacturing data and actual batch records to validate what you build. This means bridging the gap between process knowledge and execution systems, collaborating across automation, process engineering, operations, and quality teams to make solutions work in practice.
The role demands at least six years of hands-on DeltaV batch configuration experience, plus solid grounding in pharmaceutical manufacturing (small molecule preferred), MES integration, and data architecture. You'll need to think in terms of modular, reusable frameworks rather than one-off fixes, and you should have some exposure to AI or machine learning in regulated settings—with genuine interest in growing into more advanced AI-driven workflows. Experience with tech transfer, recipe design, control strategies, and batch execution workflows is essential; continuous process control experience doesn't translate here.
If you've worked in small molecule manufacturing, understand how to model and structure digital knowledge systems, and can engage effectively across multiple functions while iterating based on real feedback, this role offers the chance to shape how automation scales across a site. The company emphasizes growth and ownership, so there's room to expand your AI capabilities and take on broader responsibilities as the work evolves.
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Pay for this role
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