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AI Architect

Job in Boston, Nelson County, Kentucky, 40107, USA
Listing for: Forsyth Barnes Consultancy
Full Time position
Listed on 2026-10-11
Job specializations:
  • Business
    AI Business & Operations
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
Position: AI Architect (Ref: 197969)
Location: Boston

About Us

Operating within chemicals and related products manufacturing, our client develops and produces materials that support industrial supply chains and demanding commercial applications. Its work combines process discipline, technical expertise, and operational reliability across environments where quality, safety, and consistency are essential.

About Us

Operating within chemicals and related products manufacturing, our client develops and produces materials that support industrial supply chains and demanding commercial applications. Its work combines process discipline, technical expertise, and operational reliability across environments where quality, safety, and consistency are essential.

Digital capability is increasingly important to this organisation’s manufacturing performance, from improving production insight and engineering decision‑making to strengthening the use of data across complex operations. The AI Architect will help translate that opportunity into practical, secure, and scalable solutions with measurable business value.

Job Description

The AI Architect will define and lead the technical direction for artificial intelligence across a manufacturing environment. This role will connect business priorities with enterprise architecture, identifying where machine learning, generative AI, advanced analytics, and intelligent automation can improve productivity, quality, reliability, safety, and decision‑making.

Success will involve more than producing concepts or prototypes. You will establish architectures that can move into dependable production, align stakeholders around realistic delivery plans, and create the standards, controls, and operating practices required for responsible AI adoption across the organisation.

Working with engineering, operations, data, technology, and business leaders, you will shape solutions from discovery through implementation and continuous improvement. The position requires strategic perspective alongside sufficient technical depth to challenge designs, guide delivery teams, and ensure that AI capabilities perform effectively in real operational settings.

Based in Boston, Massachusetts, this opportunity suits an experienced architect who can operate across corporate and plant‑level priorities. Your contribution will influence how intelligent technologies are selected, integrated, governed, measured, and scaled throughout the manufacturing portfolio.

Key Responsibilities
  • Define the target architecture and multi‑year roadmap for AI, machine learning, generative AI, and intelligent automation capabilities.
  • Assess manufacturing, supply chain, quality, maintenance, engineering, and commercial use cases to prioritise investments with clear operational or financial outcomes.
  • Design secure, scalable solutions that integrate enterprise systems, industrial data sources, cloud services, analytics platforms, and operational technologies.
  • Establish patterns for data preparation, model development, deployment, monitoring, evaluation, retraining, and lifecycle governance.
  • Guide the responsible application of large language models, computer vision, predictive analytics, optimisation, and other relevant AI techniques.
  • Translate complex technical options into clear recommendations for senior executives, plant leaders, product owners, and delivery teams.
  • Set architectural principles covering interoperability, cybersecurity, privacy, resilience, explainability, model risk, and regulatory expectations.
  • Partner with data and technology teams to improve the quality, accessibility, lineage, and reliability of information used by AI systems.
  • Oversee proof‑of‑concept decisions and create practical pathways for successful solutions to progress into production.
  • Define success…
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