AI Knowledge Engineer Salary.

AI Knowledge Engineer Compensation

National median, base vs total comp, 2023-2026

The national median AI Knowledge Engineer salary is $138,000 in 2026. Most earn between $105,000 (25th percentile) and $175,000 (75th percentile). Where you land depends on your experience, skills, the company's size, and your location.

Entry level AI Knowledge Engineers (0 to 2 years) typically earn $90,000 to $110,000. Mid level (3 to 5 years) run $117,000 to $145,000. Senior (6 to 9 years) reach $152,000 to $179,000, and lead level (10 plus years) $173,000 to $214,000.

Anchor your ask near the 75th percentile of $175,000 so you have room to settle around the $138,000 median. Bring specific data about your impact, and never accept the first number without a conversation.

Compensation reflects expertise in designing knowledge representation systems that enhance AI reasoning. Engineers who can build ontologies, knowledge graphs, and structured data pipelines that improve LLM accuracy earn premiums. Experience combining symbolic AI approaches with neural methods is a rare and valued skill. Domain expertise in specific knowledge domains adds 10% to 15%.

Junior knowledge engineers start at $90,000 to $110,000. Mid-level engineers building production knowledge graph systems reach $130,000 to $155,000. Senior engineers designing enterprise knowledge architectures earn $165,000 to $200,000. Directors of AI knowledge systems can reach $220,000 to $270,000 in total compensation.

Equity at enterprise AI companies adds $15,000 to $55,000 annually. Bonuses of 10% to 15% are standard. Benefits include conference attendance at knowledge management and AI events, and research collaboration opportunities with academic partners.