Generative AI Context Engineer

We are seeking a Generative AI Context Engineer to design and create the Knowledge Base Repository that stores curated business, technical, semantic, and retrieval-ready knowledge used by GenAI. This role focuses on converting source documentation, metadata, business definitions, and mappings into structured AI-consumable context. The ideal candidate will have a combination of software engineering and GenAI use case analysis and implementation background., * Define the structure of the Knowledge Base Repository and create organization standards for business terms, data definitions, and semantic mappings.

• Establish naming conventions, folder structure, versioning approach, ownership metadata, and publishing workflow.
• Create structured context files describing business concepts, definitions, synonyms, relationships, metrics, and data mappings.
• Convert business documentation, PDFs, and data dictionaries into AI-usable knowledge artifacts.
• Define reusable context templates for business glossary terms, metric definitions, and retrieval rules.
• Organize context to support accurate SQL generation, entity recognition, and business interpretation.
• Collaborate with the AI Platform Engineer to ensure the repository can be indexed and consumed by the GenAI platform.
• Establish review and approval workflows for AI context artifacts and maintain version control of knowledge assets.

• 5+ years in AI context engineering, knowledge management, semantic modeling, data governance, or business metadata management.
• Experience creating knowledge repositories, business glossaries, or semantic documentation.
• Experience supporting LLM, RAG, natural-language-to-SQL, or enterprise AI systems.
• Ability to translate complex data and business documentation into structured context.

Technical Skills:

• Strong YAML and JSON authoring skills.
• Working knowledge of Markdown for structured documentation.
• Basic to intermediate Python for parsing, transformation, and validation.
• Familiarity with SQL for understanding data mappings.
• Experience with Git-based repository management and CI/CD pipelines.
• Conceptual understanding of vector search or retrieval systems.

Preferred Qualifications

• Experience with enterprise process management systems (e.g., POP, ARIS, SDAR).
• Exposure to GenAI platforms and LLM-based enterprise solutions.
• Knowledge of regulatory and compliance-driven data environments.
• Experience with Copilot, Azure DevOps, GitHub, OpenSearch, vector databases, or enterprise RAG platforms.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at