Content Engineer I
Lincolnshire, IL - USA
Job Summary
Description:
Max BR: BR
Remote/Hybrid - Onshore
Summary:
The Content Engineer is responsible for designing building and maintaining AI-powered systems that automate the creation of use case content at scale. Working closely with content governance and digital experience teams this role ensures AI-generated outputs are consistent high quality and aligned with approved content strategy structure and governance standards. This role plays a critical part in enabling scalable future-proof content production without increasing manual effort while continuously improving system performance based on observed quality and operational
Responsibilities:
- Design build and maintain AI tools agents prompts and workflows that generate use case content in alignment with defined content standards and governance rules
- Define and manage prompt logic system rules and required semantic elements to ensure consistency in tone structure and accuracy across all AI-generated use cases
- Monitor AI output quality and identify recurring issues or pattern failures surfaced through content reviews and analytics
- Iterate on prompts workflows and system logic to improve accuracy reduce rework and support increased content volume
- Partner with Content Leads Content Creators and governance stakeholders to translate content strategy and policy decisions into system behavior
- Ensure AI systems remain adaptable as new use case types industries or business priorities are introduced
- Document system rules prompts workflows and changes to support auditability knowledge transfer and long-term sustainability
- Support the broader use case content pipeline by ensuring AI systems are reliable repeatable and scalable
Qualifications Required:
- Bachelors degree in computer science Information Systems Digital Marketing Engineering or a related field or equivalent practical experience
- Minimum of 2 years of experience working with AI-driven content systems automation workflows or structured content generation
- Strong analytical and problem-solving skills with high attention to detail
- Experience in drafting testing and refining prompts for generative AI tools to ensure AI-generated outputs adhere to brand voice accuracy and quality standards
- Strong written communication skills in English with the ability to document systems clearly and precisely.
Preferred Requirements:
- Experience working with content governance models structured content or enterprise content systems
- Experience designing systems that capture performance data (analytics) and feed it back into the content creation process for continuous optimization
- Familiarity with CMS platforms (e.g. Adobe Experience Manager) and digital content workflows
- Understanding of prompt engineering AI agents or workflow automation tools
- Ability to manage multiple initiatives while iterating quickly based on feedback and quality signals
- Ability to understand how different technology tools content types and team processes fit together
- Self-directed curious and comfortable experimenting to improve system performance
- Strong familiarity with Gemini Copilot Claude
Remote/Hybrid - Onshore
Summary:
The Content Engineer is responsible for designing building and maintaining AI-powered systems that automate the creation of use case content at scale. Working closely with content governance and digital experience teams this role ensures AI-generated outputs are consistent high quality and aligned with approved content strategy structure and governance standards. This role plays a critical part in enabling scalable future-proof content production without increasing manual effort while continuously improving system performance based on observed quality and operational
Responsibilities:
- Design build and maintain AI tools agents prompts and workflows that generate use case content in alignment with defined content standards and governance rules
- Define and manage prompt logic system rules and required semantic elements to ensure consistency in tone structure and accuracy across all AI-generated use cases
- Monitor AI output quality and identify recurring issues or pattern failures surfaced through content reviews and analytics
- Iterate on prompts workflows and system logic to improve accuracy reduce rework and support increased content volume
- Partner with Content Leads Content Creators and governance stakeholders to translate content strategy and policy decisions into system behavior
- Ensure AI systems remain adaptable as new use case types industries or business priorities are introduced
- Document system rules prompts workflows and changes to support auditability knowledge transfer and long-term sustainability
- Support the broader use case content pipeline by ensuring AI systems are reliable repeatable and scalable
Qualifications Required:
- Bachelors degree in computer science Information Systems Digital Marketing Engineering or a related field or equivalent practical experience
- Minimum of 2 years of experience working with AI-driven content systems automation workflows or structured content generation
- Strong analytical and problem-solving skills with high attention to detail
- Experience in drafting testing and refining prompts for generative AI tools to ensure AI-generated outputs adhere to brand voice accuracy and quality standards
- Strong written communication skills in English with the ability to document systems clearly and precisely.
Preferred Requirements:
- Experience working with content governance models structured content or enterprise content systems
- Experience designing systems that capture performance data (analytics) and feed it back into the content creation process for continuous optimization
- Familiarity with CMS platforms (e.g. Adobe Experience Manager) and digital content workflows
- Understanding of prompt engineering AI agents or workflow automation tools
- Ability to manage multiple initiatives while iterating quickly based on feedback and quality signals
- Ability to understand how different technology tools content types and team processes fit together
- Self-directed curious and comfortable experimenting to improve system performance
- Strong familiarity with Gemini Copilot Claude
Additional Details
- Managers Requested BR : (No Value)
- Zebra Order Type : Non Government
- Does the position allow for the worker to be virtual/remote : Yes
- Shore Options Available for this Position : Onshore Only
- Critical Position : No
- Contract Type : Contract
- Shift Type : Day Shift