Key skills
AI-driven content systemsAutomation workflowsStructured content generationPrompt engineeringGenerative AI toolsContent governance modelsEnterprise content systemsContent analyticsCMS platformsDigital content workflowsSystem documentationAnalytical skillsEnglish written communicationAIGenerative AIClaudeGeminiAnalyticsCommunication
About this role
SPECTRAFOR is seeking a Content Engineer responsible for designing, building, and maintaining AI-powered systems that automate the creation of use case content at scale. This role collaborates with various teams to ensure AI-generated outputs align with content strategy and governance standards while improving system performance.
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
Requirements:
- Bachelor's 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
- 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