AI Architect - Manufacturing AI Strategy & Production

Forsyth Barnes Consultancy

Boston (KY)

Sur place

USD 140 000 - 190 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Strategic influence over AI adoption
Broad exposure to enterprise tech and,
Architecture standards and delivery
Boston-based opportunity
Challenging use cases

Résumé du poste

Forsyth Barnes Consultancy is seeking an AI Architect to define the technical direction for AI in a manufacturing environment. You will align business priorities with enterprise architecture, guiding ML/Generative AI, analytics and intelligent automation to improve productivity, quality and safety.

You will establish scalable architectures, govern AI adoption, and work with leaders to move concepts into production with measurable business value.

Qualifications

  • Extensive experience in enterprise AI/architecture and data platforms.
  • Delivery of production-grade AI or analytics solutions in manufacturing or asset-heavy settings.
  • Knowledge of MLOps, security, and governance in enterprise contexts.
  • Ability to connect business strategy with technology roadmaps.

Responsabilités

  • Define target architecture and multi-year AI/automation roadmaps.
  • Assess use cases across manufacturing to prioritise investments.
  • Design secure, scalable solutions integrating OT and enterprise systems.
  • Lead data prep, model development, deployment, and lifecycle governance.
  • Translate options into clear exec recommendations and plans.

Connaissances

Enterprise architecture
AI architecture
Cloud architecture
Data platforms
MLOps

Formation

Bachelor's or Master's in CS/Engineering/Data Science

Outils

Cloud platforms (AWS/Azure/GCP)
APIs & integration patterns

Description du poste

Forsyth Barnes Consultancy is seeking an AI Architect to define the technical direction for AI in a manufacturing environment. You will align business priorities with enterprise architecture, guiding ML/Generative AI, analytics and intelligent automation to improve productivity, quality and safety.

You will establish scalable architectures, govern AI adoption, and work with leaders to move concepts into production with measurable business value.

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