Customer-Facing AI Deployment Engineer

re-zoo-me

Houston (TX)

On-site

USD 120,000 - 180,000

Full time

13 days ago
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Job summary

Vailent is seeking a customer-facing engineer who operates at the intersection of deployment, integration, and product. You will embed directly with customers — chemicals distributors, polymer producers, elastomer traders — to understand their real operational environment and build production solutions that enable Vailent to work within it.

The role emphasizes ownership of outcomes, production-quality code, and close collaboration with product and engineering to generalize field learnings into

Qualifications

  • Experience delivering production-grade integrations with enterprise stacks.
  • Ability to map SAP/ERP configurations and CRM data flows.
  • Strong customer-facing communication and technical leadership.

Responsibilities

  • Own AI-enabled implementation for users, making implementations more efficient and scalable using AI-driven tooling and automation.
  • Embed with customers and own the outcome by understanding workflows, constraints, and data before touching code.
  • Run technical discovery before engagements to map the customer's existing stack and data flows.
  • Build and deploy production solutions and tenant configurations that run in live environments.
  • Own the full integration lifecycle from first API call to stable sync including SAP/ERP data and CRM connections.
  • Be the primary technical relationship, communicating architectural decisions to non-technical stakeholders.

Job description

Vailent is seeking a customer-facing engineer who operates at the intersection of deployment, integration, and product. You will embed directly with customers — chemicals distributors, polymer producers, elastomer traders — to understand their real operational environment and build production solutions that enable Vailent to work within it.

The role emphasizes ownership of outcomes, production-quality code, and close collaboration with product and engineering to generalize field learnings into

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