Neuro-Symbolic AI Manager

  • Redmond, WA
  • Posted 16 hours ago | Updated 15 hours ago

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

neuro-symbolic AI
Python and Go
PyG
PyKEEN
and PyTorch

Job Details

Job Title: Neuro-Symbolic AI Manager

Location: Redmond, WA

Duration - 12+ Months

The Client are seeking few accomplished Neuro-Symbolic AI Manager to lead advanced research and productization efforts in hybrid AI systems that combine machine learning with symbolic reasoning. This role blends deep technical leadership with hands-on algorithm design, working at the forefront of explainable and high-performance AI solutions.

Key Responsibilities

1. Technical Leadership & Strategy

Define and drive the organization s neuro-symbolic AI roadmap in alignment with business

objectives.

Lead AI-driven initiatives from research concept through scalable production deployment.

Mentor and guide multidisciplinary teams of AI researchers, engineers, and data scientists.

2. Algorithm Design & Implementation

Architect, develop, and optimize neuro-symbolic AI algorithms for mission-critical, real-world use cases.

Implement and evaluate hybrid AI models using large, real-world datasets.

Ensure efficient, clean, and well-documented code following industry best practices.

3. Research & Innovation

Collaborate with global research teams, academic institutions, and industry partners to advance neuro-symbolic AI methodologies.

Publish and present technical findings at top AI conferences and journals.

Lead technical ideation to enhance and evolve existing AI solutions.

Required Qualifications

Education: PhD in Computer Science, Artificial Intelligence, Data Science, or closely related field.

Experience: Minimum 15 years in AI research, software development, and applied neuro-symbolic AI.

Programming Expertise: Advanced proficiency in Python and Go, with hands-on experience using neuro-symbolic AI toolkits such as PyG, PyKEEN, and PyTorch.

Domain Knowledge:

o Deep understanding of knowledge representation, symbolic reasoning, and machine

learning.

o Strong background in graph neural networks, probabilistic logic, and hybrid AI

architectures.

Leadership & Soft Skills: Proven track record leading large-scale AI initiatives, with exceptional

communication and cross-functional collaboration skills.

Hands-on experience deploying AI systems on Azure.

Familiarity with automated reasoning systems, logic programming, and explainable AI (XAI)

principles.

Experience with scalable microservices architectures for AI solutions.

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