Lead Knowledge Graph & Agentic AI Architect

Jobtailor; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor is seeking an experienced AI architect to design and implement neuro-symbolic AI solutions, leveraging knowledge graphs, LLMs, and agentic systems. You will lead scalable graph architectures and production deployments in banking, insurance, and healthcare domains.

You will mentor engineers, collaborate with cross-functional teams, ensure governance and observability, and stay ahead of Generative AI advances to deliver robust, compliant enterprise AI applications.

Qualifications

• 7+ years of AI/ML and software engineering experience.
• 3+ years building Generative AI or Agentic AI systems, including production deployments.
• Hands-on experience with LLMs, prompt engineering, and model integration.
• Knowledge Graph design and implementation experience.

Responsibilities

• Architect and implement neuro-symbolic AI solutions across domains.
• Design enterprise knowledge graphs and semantic models.
• Lead multi-agent orchestration and tool use.
• Develop scalable APIs for AI and agent workflows.

Skills

Knowledge Graph Design

Generative AI Systems

Agentic AI Systems

Graph Query Languages

Python Programming

Semantic Web Technologies

Data Pipelines

ETL

REST WebSocket APIs

Software Engineering

Education

Bachelor's or Master's in CS/AI/Data Science

Tools

Neo4j

Amazon Neptune

Stardog

GraphDB

TigerGraph

JanusGraph

ArangoDB

REST APIs

WebSocket APIs

Graph Databases

Job description

Jobtailor is seeking an experienced AI architect to design and implement neuro-symbolic AI solutions, leveraging knowledge graphs, LLMs, and agentic systems. You will lead scalable graph architectures and production deployments in banking, insurance, and healthcare domains.

You will mentor engineers, collaborate with cross-functional teams, ensure governance and observability, and stay ahead of Generative AI advances to deliver robust, compliant enterprise AI applications.