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Head of Neuro-Symbolic AI

Job in Phoenix, Maricopa County, Arizona, 85001, USA
Listing for: Ladders
Full Time position Listed on 2026-11-15
Job specializations:
Salary/Wage Range or Industry Benchmark: 216000 - 240000 USD Yearly USD 216000.00 240000.00 YEAR

Job Description & How to Apply Below

For our client, we are seeking a Head of Neuro-Symbolic AI to join the team of a leader in the Enterprise Technology space. This role will shape the technical direction for a next-generation AI capability that combines symbolic reasoning with neural and language-model approaches. The leader will guide how the architecture is structured, how reasoning is grounded, and how the team turns advanced research into dependable production systems.

This is a highly cross-functional position that requires deep technical rigor, strong judgment, and the ability to communicate complex ideas clearly to technical stakeholders. The work will center on building trust in AI outputs through explainability, evaluation, and reliable reasoning.

Location:

Remote

Compensation: $216,000 – $240,000 annually

Responsibilities
  • Own the direction of the AI architecture to integrate symbolic reasoning with neural capabilities.
  • Define the contents of the symbolic and neural layers and the interface between them.
  • Ensure the system reliably reasons over knowledge graphs to generate actionable insights.
  • Make reasoning explainable and traceable to strengthen trust.
  • Set the research agenda for neuro-symbolic methods and assess production readiness.
  • Build and lead a specialized team focused on high standards of rigor and delivery.
  • Measure and evaluate reasoning quality based on community needs and grounded outcomes.
Qualifications
  • Deep expertise in neuro-symbolic AI, knowledge representation, reasoning, or a closely related field.
  • Experience combining symbolic methods with neural or language-model systems.
  • A track record of turning advanced AI research into working systems.
  • Strong grounding in knowledge graphs, retrieval, and modern LLMs.
  • Experience leading researchers or engineers, or clear readiness to lead.
  • Rigor about evaluation, groundedness, and honest handling of uncertainty.
  • The ability to translate hard ideas for a broad technical audience.
Benefits
  • Generous health and wellness benefits
  • Early stage equity as part of the compensation package

Our client is an equal opportunity employer.

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