Forward Deployed Engineer – Manufacturing/Plant Maintenance

Insight Global; Erlanger (KY); On-site; USD 140,000 - 190,000; Full time

Job summary

Insight Global is recruiting for a Forward Deployed Engineer to bridge business strategy with AI implementation for a Fortune 50 client. You will partner with manufacturing/plant maintenance leaders to define automated needs, validate value, and drive high-impact AI deployments using generative AI, LLMs, and robust data integration.

You will collaborate across data platforms, ERP/CRM integrations, and cloud environments, delivering scalable AI solutions while ensuring governance and enterprise

Qualifications

• 12+ years of combined business and technology experience.
• Strong business expertise in the Manufacturing/Plant Maintenance industry.
• MES (Manufacturing Execution System), PLM (Product Lifecycle Management) experience.

Responsibilities

• Bridge business strategy and AI implementation for manufacturing.
• Partner with business leaders to validate value and drive AI initiatives.
• Build and deploy AI-driven solutions, including generative AI and LLMs.

Skills

Business + tech experience

Manufacturing/Plant Maintenance domain

Generative AI experience

Tools

MES

PLM

Python

APIs & system integrations

Cloud platforms (Azure/AWS/GCP)

Docker/Kubernetes

Job description

Job Description

A Fortune 50 company is seeing a Forward Deployed Engineer to bridge the gap between business strategy and AI implementation. This individual will partner with business leaders in the Manufacturing/Plant Maintenance industry to understand an automated business need, validate the expected value, and drive the successful implementation of AI initiatives. The ideal candidate combines a deep industry experience, strong engineering skills, and hands‑on generative AI experience to drive value and deliver high-impact AI solutions.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail] learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• 12+ years of combined business and technology experience
• Strong business expertise in the Manufacturing/Plant Maintenance industry
• MES (Manufacturing Execution System), PLM (Product Lifecycle Management) experience

Technical Requirements

• Experience building and deploying AI-driven solutions, including Generative AI and Large Language Models (LLMs) such as OpenAI, Claude, or Gemini.
• Familiarity with concepts such as prompt engineering, retrieval‑augmented generation (RAG), and agent‑based AI architectures.
• Strong programming skills in Python and experience working with APIs and system integrations.
• Understanding of data platforms, including SQL/NoSQL databases, data modeling, and data pipeline design.
• Experience working in cloud environments such as Azure (preferred), AWS, or GCP.
• Familiarity with modern application deployment practices, including containerization technologies such as Docker or Kubernetes.
• Ability to work with enterprise data sources, including ERP and CRM platforms, and understand how business data is structured, connected, and leveraged to support AI solutions.
• Knowledge of enterprise security, governance, and best practices for deploying solutions in large organizations.