Current Openings

Industrial Data and AI Engineer

A senior industrial data role focused on the production foundations behind manufacturing AI. The profile aligns with LinkedIn demand for engineers who can own source-system integration, operational data quality, and scalable delivery patterns.

Industrial data pipelines OT and enterprise integration Production-ready AI data foundations
Hiring Manager Review Manufacturing Austin, TX / On-site Full Time Senior $150K-$205K

Engineering feedback targeted within 5 business days

About the Job

Job description.

Seyon is hiring for industrial data engineering work that supports AI, analytics, and operational workflows across plant and enterprise environments. The role is grounded in production readiness, dependable integration, and scalable data foundations.

The position fits engineers who can work across shop-floor context, enterprise systems, and modern data platforms to enable real manufacturing outcomes rather than isolated proofs of concept.

Engineer data pipelines, quality signals, and AI-enabled operational capabilities across industrial and smart-factory programs.

Build and maintain the industrial data foundations that support AI, analytics, and operational workflows across plant and enterprise environments.

The role centers on dependable pipeline design, OT and enterprise data integration, and the delivery patterns needed to make manufacturing AI use cases usable in production rather than isolated pilots.

Job Details

Position summary.

  • Status: Hiring Manager Review
  • Sector: Manufacturing
  • Location: Austin, TX / On-site
  • Employment type: Full Time
  • Level: Senior
  • Compensation: $150K-$205K
  • Engineering feedback targeted within 5 business days
Responsibilities

Responsibilities and tasks.

  • Build and maintain industrial data pipelines tied to operational and quality workflows.
  • Enable AI and analytics services with reliable, well-structured manufacturing data.
  • Partner with plant, platform, and product stakeholders to move from pilot to scale.
Minimum Qualifications

Required background and experience.

  • Strong experience with industrial data engineering, analytics platforms, or smart-factory systems.
  • Ability to integrate shop-floor and enterprise sources into governed delivery patterns.
  • Practical understanding of AI-enablement requirements such as context quality and monitoring.
Preferred Qualifications

Additional experience that stands out.

  • Practical understanding of AI-enablement requirements such as context quality and monitoring.
  • Exposure to OT environments, MES, historian data, or industrial IoT integrations.
  • Experience supporting AI or advanced analytics use cases in plant operations.
About Seyon Hiring

Candidate experience.

Seyon is hiring for client-facing and delivery-facing AI roles across finance, health care, manufacturing, and enterprise transformation programs.

Applications submitted on this page are reviewed through our recruiting workflow, and resumes are retained in a private intake process for candidate review.

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