Forward Deployment Engineer - Agribusiness/Commodities

Insight Global

Erlanger, KY, United States

12 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

$145,600.0 - $183,040.0

Working hours

Regular working hours

Job source

jobs.insightglobal.com

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Computer Programming Python (Programming Language) NoSQL Salesforce.Com Software Deployment SQL Databases Systems Integration Cloud Platform System Large Language Models

+8 more

Prompt Engineering Generative AI Containerization Kubernetes Data Management Api Design Data Pipelines Docker

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 Agribusiness/Commodities 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.

Requirements

12+ years of combined business and technology experience

Strong business expertise in the Agribusiness/Commodities industry
Salesforce 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.

Benefits & conditions

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.