AI Knowledge Engineer (W2 / USC / GC / HYBRID)
Job Title: AI Knowledge Engineer
Location: Multiple Client Locations in US (Hybrid 2 days Onsite/Week)
Duration: 6+ Months
Rate: $Market/Hour on W2
Eligibility: W2 only Open to US Citizens, Green Card Holders (C2C not allowed)
Description:
Primary Skill Required: Information Architecture (6-9 years’ experience)
Required Qualifications:
• Bachelor’s degree in Computer Science, Information Science, Linguistics, Knowledge Management, or related field
• 6+ years’ experience in knowledge engineering, enterprise search, semantic information architecture, content operations, or related technical roles
• Experience with knowledge graphs, taxonomy design, metadata management, or semantic search
• Familiarity with AI/ML concepts, retrieval-augmented generation, and enterprise information architecture
• Strong analytical skills and comfort working across technical and business teams
• Experience with content operations, data governance, or knowledge management tools
Preferred Qualifications:
• Experience with vector databases, graph databases, or enterprise search platforms
• Exposure to LLM evaluation, prompt engineering, or semantic layer design
• Familiarity with Python, SQL, APIs, or automation for content workflows
• Experience in large enterprise environments, consulting or professional services
• Structured thinking and information modeling
• Cross-functional collaboration
• Attention to detail and quality
• Problem solving in ambiguous environments
• Communication with technical and non-technical stakeholders
Additional Information
- Url
- https://www.postjobfree.com/job/cazdee/ai-knowledge-engineer-w2-usc-dallas-tx?utm_source=localwork&utm_medium=organic&utm_campaign=localworkUS
- City
- Dallas
- State
- TX
- Country
- US